static gradleVersions = "0.51.0"

        // https://plugins.gradle.org/plugin/org.gradle.playframework
        static playframework = "0.13" // Can't upgrade to 0.14 as it breaks CC compat - see https://github.com/gradle/playframework/issues/184

        // https://plugins.gradle.org/plugin/net.ltgt.errorprone
        static errorProne = "3.1.0"

        CompositeStoppable.stoppable(classLoader).stop();
    }

    // Used by the Gradle Play Framework Plugin. See:
    // https://github.com/gradle/playframework/blob/master/src/main/java/org/gradle/playframework/tools/internal/run/PlayWorkerServer.java#L72
    public static void disableUrlConnectionCaching() {
        // fix problems in updating jar files by disabling default caching of URL connections.

==== The Play plugins have been removed

The deprecated Play plugin has been removed.
An external replacement, the link:https://gradle.github.io/playframework[Play Framework plugin], is available from the plugin portal.

==== Method `AbstractCompile.compile()` method has been removed

The abstract method `compile()` is no longer declared by `AbstractCompile`.

==== Removal of Play Framework plugins

The deprecated Play plugins have been removed.
An external replacement, the link:https://gradle.github.io/playframework[Play Framework plugin], is available from the plugin portal.

=== Removal of deprecated JVM plugins

These unmaintained alternative JVM plugins have been removed:

  mlir::mhlo::registerAllMhloPasses();
  // These are in compiler/mlir/tf2xla and not part of the above MHLO passes.
  mlir::mhlo::registerTfXlaPasses();
  mlir::mhlo::registerLegalizeTFPass();
  mlir::xla_framework::registerXlaFrameworkPasses();
  tensorflow::RegisterConvertMlirToXlaHloPipelineWithDefaults();
  tensorflow::RegisterGraphOptimizationPasses();
}

}  // namespace odml
}  // namespace mlir

    mlir::tosa::registerTFLtoTOSALegalizationPipeline();
    mlir::tosa::registerTFTFLtoTOSALegalizationPipeline();
    mlir::tf_saved_model::registerTensorFlowSavedModelPasses();
    mlir::xla_framework::registerXlaFrameworkPasses();
    tensorflow::RegisterMlProgramPasses();
    return true;
  }();
  (void)unique_registration;
}

// Runs pass pipeline `pass_pipeline` on `module` if `pass_pipeline` is not