**FastAPI** 🚚 ⚫️ 🏪 👆, 👩‍💻. ✋️ ⚫️ 👟 🔗 ⚪️➡️ 💃.

///

### ⏭ & ⏮️ `response`

👆 💪 🚮 📟 🏃 ⏮️ `request`, ⏭ 🙆 *➡ 🛠️* 📨 ⚫️.

& ⏮️ `response` 🏗, ⏭ 🛬 ⚫️.

🖼, 👆 💪 🚮 🛃 🎚 `X-Process-Time` ⚗ 🕰 🥈 👈 ⚫️ ✊ 🛠️ 📨 & 🏗 📨:

```Python hl_lines="10  12-13"
{!../../docs_src/middleware/tutorial001.py!}
```

## 🎏 🛠️

                        return builder.setScript(script);
                    }
                } catch (final Exception e) {
                    logger.warn("Failed to process {}", hit, e);
                }
                return null;
            });
            resultBuf.append(count).append(" docs").append("\n");
        } catch (final Exception e) {

     */
    public static class PropertiesReader extends LineNumberReader {
        /** Stores the comment lines for the currently processed property.*/
        private final List<String> commentLines;

        /** Stores the value lines for the currently processed property.*/
        private final List<String> valueLines;

        /** Stores the name of the last read property.*/
        private String propertyName;

  // +optional
  optional ObjectMetricSource object = 2;

  // pods refers to a metric describing each pod in the current scale target
  // (for example, transactions-processed-per-second).  The values will be
  // averaged together before being compared to the target value.
  // +optional
  optional PodsMetricSource pods = 3;

  // +optional
  optional ObjectMetricSource object = 2;

  // pods refers to a metric describing each pod in the current scale target
  // (for example, transactions-processed-per-second).  The values will be
  // averaged together before being compared to the target value.
  // +optional
  optional PodsMetricSource pods = 3;

// named job. The server can communicate with any other server in the same
// cluster.

// In-process TensorFlow server.
typedef struct TF_Server TF_Server;

// Creates a new in-process TensorFlow server configured using a serialized
// ServerDef protocol buffer provided via `proto` and `proto_len`.
//

            final Class<?> implType = getClassForImplementationHint(type, configuration, loader);
            if (null == value && implType.isInterface() && configuration.getChildCount() == 0) {
                return null; // nothing to process
            }
            final Object bean = instantiateObject(implType);
            if (null == value) {
                processConfiguration(lookup, bean, loader, configuration, evaluator, listener);
            } else {

 *
 * <p>A toolchain is a set of tools that can be used to build a project.
 * This interface allows users to define and configure various toolchains
 * that can be utilized by Maven during the build process. Toolchains can
 * include compilers, interpreters, and other tools that are necessary
 * for building a project in a specific environment.</p>
 *
 * <p>Toolchains are defined in the Maven toolchains.xml file and can be

``MinIO`` community welcomes your contribution. To make the process as seamless as possible, we recommend you read this contribution guide.

## Development Workflow

Und auch nachdem die `response` generiert wurde, bevor sie zurückgegeben wird.

Sie könnten beispielsweise einen benutzerdefinierten Header `X-Process-Time` hinzufügen, der die Zeit in Sekunden enthält, die benötigt wurde, um den Request zu verarbeiten und eine Response zu generieren:

```Python hl_lines="10  12-13"
{!../../docs_src/middleware/tutorial001.py!}
```