"colorMode": "value",
        "graphMode": "area",
        "justifyMode": "auto",
        "orientation": "auto",
        "reduceOptions": {
          "calcs": [
            "mean"
          ],
          "fields": "",
          "values": false
        },
        "showPercentChange": false,
        "text": {},
        "textMode": "auto",
        "wideLayout": true
      },
      "pluginVersion": "10.4.0",

        )
        self.scheme_name = scheme_name or self.__class__.__name__
        self.auto_error = auto_error

    async def __call__(self, request: Request) -> Optional[str]:
        authorization = request.headers.get("Authorization")
        if not authorization:
            if self.auto_error:
                raise HTTPException(
                    status_code=HTTP_403_FORBIDDEN, detail="Not authenticated"

                                    vector<AbstractTensorHandle*> f_outputs)
      : forward_inputs_(f_inputs), forward_outputs_(f_outputs) {
    for (auto input : forward_inputs_) {
      if (input) {
        input->Ref();
      }
    }
    for (auto output : forward_outputs_) {
      if (output) {
        output->Ref();
      }
    }
  }

  Status Compute(AbstractContext* ctx,

        "colorMode": "value",
        "graphMode": "none",
        "justifyMode": "auto",
        "orientation": "auto",
        "reduceOptions": {
          "calcs": [
            "mean"
          ],
          "fields": "",
          "values": false
        },
        "showPercentChange": false,
        "text": {},
        "textMode": "auto",
        "wideLayout": true
      },
      "pluginVersion": "10.4.0",

  tensorflow::mutex_lock c(graph->mu);
  const auto& debug_str = graph->graph.ToGraphDefDebug().DebugString();
  *len = debug_str.size();
  char* ret = static_cast<char*>(malloc(*len + 1));
  memcpy(ret, debug_str.c_str(), *len + 1);
  return ret;
}

char* TF_FunctionDebugString(TF_Function* func, size_t* len) {
  const auto& debug_str = DebugString(func->record->fdef());
  *len = debug_str.size();

   *
   * <p>The default behavior is to auto increment by zero. i.e: The ticker is left unchanged when
   * queried.
   */
  @SuppressWarnings("GoodTime") // should accept a java.time.Duration
  @CanIgnoreReturnValue
  public FakeTicker setAutoIncrementStep(long autoIncrementStep, TimeUnit timeUnit) {
    checkArgument(autoIncrementStep >= 0, "May not auto-increment by a negative amount");

                         size_t length) {
  auto s = tensorflow::unwrap(op)->SetAttrString(
      attr_name, static_cast<const char*>(value), length);
  if (!s.ok()) {
    LOG(WARNING) << "Unable to set attribute: " << attr_name;
  }
}

void TFE_OpSetAttrInt(TFE_Op* op, const char* attr_name, int64_t value) {
  auto s = tensorflow::unwrap(op)->SetAttrInt(attr_name, value);
  if (!s.ok()) {

      volumes:
        {{ toYaml . | nindent 8 }}
      {{- end }}
      containers:
        - name: istio-proxy
          # "auto" will be populated at runtime by the mutating webhook. See https://istio.io/latest/docs/setup/additional-setup/sidecar-injection/#customizing-injection
          image: auto
          {{- with .Values.imagePullPolicy }}
          imagePullPolicy: {{ . }}
          {{- end }}
          securityContext:

```
mc encrypt info myminio/bucket/
Auto encryption 'sse-s3' is enabled
```

### Using environment (not-recommended)

MinIO automatically encrypts all objects on buckets if KMS is successfully configured and following ENV is enabled:

```
export MINIO_KMS_AUTO_ENCRYPTION=on
```

### Verify auto-encryption

Era `upper`? O era `uppercase`? `first_uppercase`? `capitalize`?

Luego lo intentas con el viejo amigo de los programadores, el auto-completado del editor.

Escribes el primer parámetro de la función `first_name`, luego un punto (`.`) y luego presionas `Ctrl+Space` para iniciar el auto-completado.

Tristemente, no obtienes nada útil:

<img src="https://fastapi.tiangolo.com/img/python-types/image01.png">

### Añade tipos