By default, **FastAPI** would automatically convert that return value to JSON using the `jsonable_encoder` explained in [JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank}.

Then, behind the scenes, it would put that JSON-compatible data (e.g. a `dict`) inside of a `JSONResponse` that would be used to send the response to the client.

But you can return a `JSONResponse` directly from your *path operations*.

   *   Thread.currentThread().setUncaughtExceptionHandler(UncaughtExceptionHandlers.systemExit());
   *   ...
   * </pre>
   *
   * <p>The returned handler logs any exception at severity {@code SEVERE} and then shuts down the
   * process with an exit status of 1, indicating abnormal termination.
   */
  public static UncaughtExceptionHandler systemExit() {
    return new Exiter(Runtime.getRuntime()::exit);
  }

⚙️ 👉 `dependencies` *➡ 🛠️ 👨‍🎨* 👆 💪 ⚒ 💭 👫 🛠️ ⏪ ❎ 👨‍🎨/🏭 ❌.

⚫️ 💪 ℹ ❎ 😨 🆕 👩‍💻 👈 👀 ♻ 🔢 👆 📟 & 💪 💭 ⚫️ 🙃.

///

/// info

👉 🖼 👥 ⚙️ 💭 🛃 🎚 `X-Key` & `X-Token`.

✋️ 🎰 💼, 🕐❔ 🛠️ 💂‍♂, 👆 🔜 🤚 🌖 💰 ⚪️➡️ ⚙️ 🛠️ [💂‍♂ 🚙 (⏭ 📃)](../security/index.md){.internal-link target=_blank}.

///

## 🔗 ❌ & 📨 💲

👆 💪 ⚙️ 🎏 🔗 *🔢* 👆 ⚙️ 🛎.

### 🔗 📄

 * an expressive source hint for the model problem. Instead, the source hint is configured by the model builder before
 * it delegates to other components that potentially encounter problems. Then, the problem reporter can focus on
 * providing a simple error message, leaving the donkey work of creating a nice model problem to this component.
 *
 */
public interface ModelProblemCollector {

- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
```

### 3. Failure after conversion
If the conversion is successful, but the generated model is wrong, then state what is wrong:

- Model produces wrong results and/or has lesser accuracy.
- Model produces correct results, but it is slower than expected.

### 4. (optional) RNN conversion support

    steps:
      - name: Stop old running containers (if any)
        shell: bash
        run: |
          running_containers=$(docker ps -q) && \
          if [[ $running_containers == "" ]]; then
            echo "No running containers";
          else
            echo "Running container(s) found" && \
            docker stop $running_containers;
          fi
          docker container prune -f

* Google Compute Engine PD Detach fails if node no longer exists ([29358](https://github.com/kubernetes/kubernetes/issues/29358))
* Mounting (only 'default-token') volume takes a long time when creating a batch of pods  (parallelization issue) ([28616](https://github.com/kubernetes/kubernetes/issues/28616))

      deflatedBytes.readAndWriteUnsafe().use { cursor ->
        cursor.resizeBuffer(newSize)
      }
    } else {
      // Same as adding EMPTY_DEFLATE_BLOCK and then removing 4 bytes.
      deflatedBytes.writeByte(0x00)
    }

    buffer.write(deflatedBytes, deflatedBytes.size)
  }

  @Throws(IOException::class)
  override fun close() = deflaterSink.close()

import jcifs.internal.SMBProtocolDecodingException;

/**
 * Response for SMB1 TRANS_TRANSACT_NAMED_PIPE transaction.
 *
 * This response contains the data returned from the named pipe
 * after a transact operation (write then read) has been completed.
 */
public class TransTransactNamedPipeResponse extends SmbComTransactionResponse {

    private final byte[] outputBuffer;

    /**
     * Constructs a response for a named pipe transaction.

/*
Cgo enables the creation of Go packages that call C code.

# Using cgo with the go command

To use cgo write normal Go code that imports a pseudo-package "C".
The Go code can then refer to types such as C.size_t, variables such
as C.stdout, or functions such as C.putchar.

If the import of "C" is immediately preceded by a comment, that
comment, called the preamble, is used as a header when compiling