try {
            return extractBinArchive(mavenVersion, binArchive)
        } catch (Exception e) {
            log.warn "Unable to unpack Maven distribution '$binArchive'", e
            return null
        }
    }

    private static File extractBinArchive(String mavenVersion, File binArchive) {

                                       mhlo::TupleOp tuple_results,
                                       llvm::SmallVector<Value>& outputs);

  // Given a translated function with a single return value, unpack the tuple
  // results.
  mlir::LogicalResult UnpackTupleResults(mhlo::TupleOp tuple_result,
                                         llvm::SmallVector<Value>& outputs);

// The next step is to copy (using pkg/conversion) into the internal struct. The runtime
// package's DefaultScheme has conversion functions installed which will unpack the
// JSON stored in RawExtension, turning it into the correct object type, and storing it
// in the Object. (TODO: In the case where the object is of an unknown type, a
// runtime.Unknown object will be created and stored.)
//

// The next step is to copy (using pkg/conversion) into the internal struct. The runtime
// package's DefaultScheme has conversion functions installed which will unpack the
// JSON stored in RawExtension, turning it into the correct object type, and storing it
// in the Object. (TODO: In the case where the object is of an unknown type, a
// runtime.Unknown object will be created and stored.)
//

      buffer.data(), buffer.size());
  if (nullptr == model_ptr) {
    return std::nullopt;
  }
  std::unique_ptr<tflite::ModelT> model(model_ptr->GetModel()->UnPack());

  // FB-LABEL:     name: "arg0",
  // FB-NEXT:      quantization: {
  // FB-NEXT:              min: [ -1.0 ],
  // FB-NEXT:              max: [ 1.0 ]
  // FB-NEXT:      }

  // FB-LABEL:     name: "arg1",

        "//tensorflow/lite/tools/optimize:testdata/unidirectional_sequence_lstm_quantized.bin",
        "//tensorflow/lite/tools/optimize:testdata/unpack.bin",
        "//tensorflow/lite/tools/optimize:testdata/where.bin",
    ],
    tags = [
        "tflite_not_portable_android",
        "tflite_not_portable_ios",
    ],
    deps = [

// The next step is to copy (using pkg/conversion) into the internal struct. The runtime
// package's DefaultScheme has conversion functions installed which will unpack the
// JSON stored in RawExtension, turning it into the correct object type, and storing it
// in the Object. (TODO: In the case where the object is of an unknown type, a
// runtime.Unknown object will be created and stored.)
//

        null -> writeSmallInt(NULL_VALUE)
        else -> taggedEncodingFor(value.javaClass).run {
            writeSmallInt(tag)
            withDebugFrame({
                // TODO:configuration-cache evaluate whether we need to unpack the type here
                // GeneratedSubclasses.unpackType(value).typeName
                value.javaClass.typeName
            }) {
                encoding.run { encode(value) }
            }
        }
    }

        work.visitImplementations(new UnitOfWork.ImplementationVisitor() {
            @Override
            public void visitImplementation(Class<?> implementation) {
                workClass.set(GeneratedSubclasses.unpack(implementation));
            }

            @Override
            public void visitImplementation(ImplementationSnapshot implementation) {
            }
        });

                   'Implementation-Version': project.version)
    }
}
----


To confirm that these changes work as expected, run the `jar` task again, and this time also unpack the manifest file from the JAR:

[listing.terminal]
----
\$ ./gradlew jar
\$ jar xf ${subprojectName.raw}/build/libs/${subprojectName.raw}-0.1.0.jar META-INF/MANIFEST.MF
----