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     * The CLI feeds into an execution request so if a particular value is present in the execution request
     * then we will take that over the value coming from the user settings.
     */
    private static Settings adaptSettings(MavenExecutionRequest request) {
        File localRepo = request.getLocalRepositoryPath();

          state = STATE_READ_RESPONSE_HEADERS
          responseBuilder
        }
        statusLine.code in (102 until 200) -> {
          // Processing and Early Hints will mean a second headers are coming.
          // Treat others the same for now
          state = STATE_READ_RESPONSE_HEADERS
          responseBuilder
        }
        else -> {
          state = STATE_OPEN_RESPONSE_BODY

    * Automatic and clear errors when the data is invalid.
    * Validation even for deeply nested JSON objects.
* <abbr title="also known as: serialization, parsing, marshalling">Conversion</abbr> of input data: coming from the network to Python data and types. Reading from:
    * JSON.
    * Path parameters.
    * Query parameters.
    * Cookies.
    * Headers.
    * Forms.
    * Files.

Isso é possível desde a versão `0.115.0` do FastAPI. 🤓

///

## Parâmetros do Cabeçalho com um Modelo Pydantic

Declare os **parâmetros de cabeçalho** que você precisa em um **modelo do Pydantic**, e então declare o parâmetro como `Header`:

//// tab | Python 3.10+

```Python hl_lines="9-14  18"
{!> ../../docs_src/header_param_models/tutorial001_an_py310.py!}
```

////

//// tab | Python 3.9+

```Python hl_lines="9-14  18"

            startAnotherThread()
          }

          return readyTask
        }

        // Notify the coordinator of a task that's coming up soon.
        coordinatorWaiting -> {
          if (minDelayNanos < coordinatorWakeUpAt - now) {
            backend.coordinatorNotify(this@TaskRunner)
          }
          return null
        }

  optional ContainerResourceMetricSource containerResource = 7;

  // external refers to a global metric that is not associated
  // with any Kubernetes object. It allows autoscaling based on information
  // coming from components running outside of cluster
  // (for example length of queue in cloud messaging service, or
  // QPS from loadbalancer running outside of cluster).
  // +optional
  optional ExternalMetricSource external = 5;

  optional ContainerResourceMetricSource containerResource = 7;

  // external refers to a global metric that is not associated
  // with any Kubernetes object. It allows autoscaling based on information
  // coming from components running outside of cluster
  // (for example length of queue in cloud messaging service, or
  // QPS from loadbalancer running outside of cluster).
  // +optional
  optional ExternalMetricSource external = 5;

    * Automatic and clear errors when the data is invalid.
    * Validation even for deeply nested JSON objects.
* <abbr title="also known as: serialization, parsing, marshalling">Conversion</abbr> of input data: coming from the network to Python data and types. Reading from:
    * JSON.
    * Path parameters.
    * Query parameters.
    * Cookies.
    * Headers.
    * Forms.
    * Files.