atabase-with-faunadb-and-fastapi-23dbb275bc5b title: Build an SMS Spam Classifier Serverless Database with FaunaDB and FastAPI - author: Raf Rasenberg author_link: https://rafrasenberg.com/about/ link: https://rafrasenberg.com/fastapi-lambda/ title: 'FastAPI lambda container: serverless simplified' - author: Teresa N. Fontanella De Santis author_link: https://dev.to/ link: https://dev.to/teresafds/authorization-on-fastapi-with-casbin-41og title: Authorization on FastAPI with Casbin - author: New...

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	quarkus/extensions/jsonb/runtime/pom.xml
quarkus/extensions/amazon-lambda-http/deployment/pom.xml
	quarkus/core/deployment/pom.xml
	quarkus/extensions/security/deployment/pom.xml
	quarkus/extensions/vertx-http/deployment/pom.xml
	quarkus/extensions/amazon-lambda/deployment/pom.xml
	quarkus/extensions/amazon-lambda-http/runtime/pom.xml
	quarkus/extensions/amazon-lambda-http/http-event-server/pom.xml

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   * instead.
   *
   * <p>Unfortunately, the method reference {@code Optional::toJavaUtil} will not work, because it
   * could refer to either the static or instance version of this method. Write out the lambda
   * expression {@code o -> Optional.toJavaUtil(o)} instead.
   *
   * @since NEXT (but since 21.0 in the JRE flavor)
   */
  @SuppressWarnings({

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   * TreeSet#TreeSet(Comparator)}, where such consistency is expected.
   *
   * <p>The returned comparator is serializable.
   *
   * <p><b>Java 8+ users:</b> Use the lambda expression {@code (a, b) -> 0} instead (in certain
   * cases you may need to cast that to {@code Comparator<YourType>}).
   *
   * @since 13.0
   */
  @GwtCompatible(serializable = true)

    *   Raw TensorFlow functions can now be used in conjunction with the Keras
        Functional API during model creation. This obviates the need for users
        to create Lambda layers in most cases when using the Functional API.
        Like Lambda layers, TensorFlow functions that result in Variable
        creation or assign ops are not supported.
    *   Add support for passing list of lists to the `metrics` argument in Keras

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