* collection-based APIs. Further, this method allows precise control over the runtime type of the
   * output array, and may, under certain circumstances, be used to save allocation costs.
   *
   * <p>Suppose {@code x} is a queue known to contain only strings. The following code can be used
   * to dump the queue into a newly allocated array of {@code String}:
   *
   * <pre>

   * collection-based APIs. Further, this method allows precise control over the runtime type of the
   * output array, and may, under certain circumstances, be used to save allocation costs.
   *
   * <p>Suppose {@code x} is a queue known to contain only strings. The following code can be used
   * to dump the queue into a newly allocated array of {@code String}:
   *
   * <pre>

   * collection-based APIs. Further, this method allows precise control over the runtime type of the
   * output array, and may, under certain circumstances, be used to save allocation costs.
   *
   * <p>Suppose {@code x} is a queue known to contain only strings. The following code can be used
   * to dump the queue into a newly allocated array of {@code String}:
   *
   * <pre>

func (as *asciiSet) contains(c byte) bool {
	return as[c]
}

// shouldUseASCIISet returns whether to use the lookup table optimization.
// The threshold of 8 bytes balances initialization cost against per-byte
// search cost, performing well across all charset sizes.
//
// More complex heuristics (e.g., different thresholds per charset size)
// add branching overhead that eats away any theoretical improvements.

    srcs = ["tf_shape.cc"],
    hdrs = ["tf_shape.h"],
    copts = tf_copts(),
    visibility = ["//visibility:public"],
    deps = [
        ":c_api_macros",
        ":tf_shape_internal",
        "//tensorflow/core:framework",
    ],
)

cc_library(
    name = "tf_shape_internal",
    hdrs = ["tf_shape_internal.h"],
    copts = tf_copts(),
    visibility = ["//tensorflow:internal"],
    deps = [

La palabra **programa** se usa comúnmente para describir muchas cosas:

* El **código** que escribes, los **archivos Python**.
* El **archivo** que puede ser **ejecutado** por el sistema operativo, por ejemplo: `python`, `python.exe` o `uvicorn`.
* Un programa específico mientras está siendo **ejecutado** en el sistema operativo, usando la CPU y almacenando cosas en la memoria. Esto también se llama **proceso**.

        return self

    def __exit__(self, exc_type, exc_val, exc_tb) -> None:
        pass

    def update_request_info(self, cost: int, remaining: int, reset_at: str) -> None:
        self.last_query_cost = cost
        self.remaining_points = remaining
        self.reset_at = datetime.fromisoformat(reset_at.replace("Z", "+00:00"))


rate_limiter = RateLimiter()

///

### [Flask](https://flask.palletsprojects.com) { #flask }

Flask es un "microframework", no incluye integraciones de bases de datos ni muchas de las cosas que vienen por defecto en Django.

Esta simplicidad y flexibilidad permiten hacer cosas como usar bases de datos NoSQL como el sistema de almacenamiento de datos principal.

```JSON hl_lines="4-8"
{
    "openapi": "3.1.0",
    // Más cosas aquí
    "servers": [
        {
            "url": "/api/v1"
        }
    ],
    "paths": {
            // Más cosas aquí
    }
}
```

HTTPS
=====

OkHttp attempts to balance two competing concerns:

 * **Connectivity** to as many hosts as possible. That includes advanced hosts that run the latest versions of [boringssl](https://boringssl.googlesource.com/boringssl/) and less out of date hosts running older versions of [OpenSSL](https://www.openssl.org/).