* those implied by the returned execution delay.
 *
 * Cancellation
 * ------------
 *
 * Tasks may be canceled while they are waiting to be executed, or while they are executing.
 *
 * Canceling a task that is waiting to execute prevents that upcoming execution. Canceling a task
 * that is currently executing does not impact the ongoing run, but it does prevent a recurrence
 * from being scheduled.
 *

link: https://eng.uber.com/ludwig-v0-2/ title: 'Uber: Ludwig v0.2 Adds New Features and Other Improvements to its Deep Learning Toolbox [including a FastAPI server]' - author: Maarten Grootendorst author_link: https://www.linkedin.com/in/mgrootendorst/ link: https://towardsdatascience.com/how-to-deploy-a-machine-learning-model-dc51200fe8cf title: How to Deploy a Machine Learning Model - author: Johannes Gontrum author_link: https://twitter.com/gntrm link: https://medium.com/@gntrm/jwt-authentica...

import okhttp3.MediaType
import okhttp3.MediaType.Companion.toMediaTypeOrNull
import okhttp3.ResponseBody
import okio.BufferedSource

class RealResponseBody(
  /**
   * Use a string to avoid parsing the content type until needed. This also defers problems caused
   * by malformed content types.
   */
  private val contentTypeString: String?,
  private val contentLength: Long,
  private val source: BufferedSource,

    @PathSensitive(PathSensitivity.NAME_ONLY)
    FileTree getSource() {
        return super.getSource();
    }

    @TaskAction
    def extract() {
        Date start = new Date()

        //parsing all input files into metadata
        //and placing them in the repository object

            StringBuilder value = new StringBuilder();

            // state of the automaton:
            // 0: key parsing
            // 1: antislash found while parsing the key
            // 2: separator crossing
            // 3: white spaces
            // 4: value parsing
            int state = 0;

            for (int pos = 0; pos < line.length(); pos++) {
                char c = line.charAt(pos);

    /**
     * Parse the model obtained previously by a previous call to {@link #locate(Path)}.
     *
     * @param source the source to parse, never {@code null}
     * @param options possible parsing options, may be {@code null}
     * @return the parsed {@link Model}, never {@code null}
     * @throws ModelParserException if the model cannot be parsed
     */
    @Nonnull

// error returned by disks which are to be initialized are waiting for the
// first server to initialize them in distributed set to initialize them.
var errNotFirstDisk = errors.New("Not first drive")

// error returned by first disk waiting to initialize other servers.
var errFirstDiskWait = errors.New("Waiting on other drives")

// error returned for a negative actual size.

}

func (err *s3Error) Error() string {
	return err.message
}

func errParquetParsingError(err error) *s3Error {
	return &s3Error{
		code:       "ParquetParsingError",
		message:    "Error parsing Parquet file. Please check the file and try again.",
		statusCode: 400,
		cause:      err,
	}

app = FastAPI()


@app.get("/models/{model_name}")
async def get_model(model_name: ModelName):
    if model_name is ModelName.alexnet:
        return {"model_name": model_name, "message": "Deep Learning FTW!"}

    if model_name.value == "lenet":
        return {"model_name": model_name, "message": "LeCNN all the images"}

    return t;
  }

  /** Returns {@code null} as any type, even one that does not include {@code null}. */
  @SuppressWarnings({"nullness", "TypeParameterUnusedInFormals", "ReturnMissingNullable"})
  // The warnings are legitimate. Each time we use this method, we document why.
  @ParametricNullness
  static <T extends @Nullable Object> T unsafeNull() {
    return null;
  }

  private NullnessCasts() {}