executed = false;
  num_retvals = 0;
  TFE_Execute(op.get(), nullptr, &num_retvals, status.get());
  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
  ASSERT_TRUE(executed);

  // Read the variable's value.
  op.reset(TFE_NewOp(context.get(), "ReadVariableOp", status.get()));
  TFE_OpAddInput(op.get(), var_handle, status.get());
  TFE_OpSetDevice(op.get(), name, status.get());

  // desiredReplicas is the desired number of replicas of pods managed by this autoscaler,
  // as last calculated by the autoscaler.
  optional int32 desiredReplicas = 4;

  // currentMetrics is the last read state of the metrics used by this autoscaler.
  // +optional
  repeated MetricStatus currentMetrics = 5;

  // conditions is the set of conditions required for this autoscaler to scale its target,

            "field (e.g. Union[Response, dict, None]) you can disable generating the "
            "response model from the type annotation with the path operation decorator "
            "parameter response_model=None. Read more: "
            "https://fastapi.tiangolo.com/tutorial/response-model/"
        ) from None


def create_cloned_field(
    field: ModelField,
    *,

    #  Elements of this map are as below:
    #   o key of map: Properties Title Name
    #   o baseDir: base directory for directory property. (NotRequired)
    #   o rootFile: root file to read properties (Required)
    #   o environmentMap: map of environment files, the value is dir path (NotRequired)
    #   o diffIgnoredKeyList: list of ignored keys for differences (NotRequired)

    data.

 *  Fix: Don't fail the call when the response code is ‘HTTP 102 Processing’ or ‘HTTP 103 Early
    Hints’.

 *  Fix: Honor interceptors' changes to connect and read timeouts.

 *  Fix: Recover gracefully when a cached response is corrupted on disk.

 *  Fix: Don't leak file handles when a cache disk write fails.

          "fullMetaSearch": false,
          "hide": false,
          "includeNullMetadata": true,
          "instant": false,
          "legendFormat": "Pool {{pool}} / Set {{set}} - Read Quorum",
          "range": true,
          "refId": "B",
          "useBackend": false
        },
        {
          "datasource": {
            "type": "prometheus",

```

Um **gerenciador de contexto** em Python é algo que você pode usar em uma declaração `with`, por exemplo, `open()` pode ser usado como um gerenciador de contexto:

```Python
with open("file.txt") as file:
    file.read()
```

Nas versões mais recentes de Python, há também um **gerenciador de contexto assíncrono**. Você o usaria com `async with`:

```Python
async with lifespan(app):
    await do_stuff()
```

   * it slower than the native version.
   *
   * @param input the input bytes
   * @param offset the offset into the array at which to start reading
   * @param length the number of bytes from the input to read
   * @return a long of a concatenated 8 bytes
   */
  static long load64Safely(byte[] input, int offset, int length) {
    long result = 0;

🖼, <a href="https://docs.python.org/3/tutorial/inputoutput.html#reading-and-writing-files" class="external-link" target="_blank">👆 💪 ⚙️ `with` ✍ 📁</a>:

```Python
with open("./somefile.txt") as f:
    contents = f.read()
    print(contents)
```

🔘, `open("./somefile.txt")` ✍ 🎚 👈 🤙 "🔑 👨‍💼".

🕐❔ `with` 🍫 🏁, ⚫️ ⚒ 💭 🔐 📁, 🚥 📤 ⚠.

🕐❔ 👆 ✍ 🔗 ⏮️ `yield`, **FastAPI** 🔜 🔘 🗜 ⚫️ 🔑 👨‍💼, &amp; 🌀 ⚫️ ⏮️ 🎏 🔗 🧰.

	defer func() {
		if errors.Is(err, errFileNotFound) {
			err = errUploadIDNotFound
		}
	}()

	uploadIDPath := er.getUploadIDDir(bucket, object, uploadID)

	storageDisks := er.getDisks()

	// Read metadata associated with the object from all disks.
	partsMetadata, errs := readAllFileInfo(ctx, storageDisks, bucket, minioMetaMultipartBucket,
		uploadIDPath, "", false, false)