let summary = "Quantize composite functions with QDQ input / outputs.";
  let options = [
    Option<"enable_per_channel_quantized_weight_",
        "enable-per-channel-quantized-weight",
        "bool", /*default=*/"true",
        "Whether to enable per-channel quantized weights.">,
    Option<"mlir_dump_file_name_", "mlir-dump-file-name",
        "std::optional<std::string>", /*default=*/"std::nullopt",
        "MLIR dump file name.">,

    /**
     * Locate and parse the model in the specified directory.
     * This is equivalent to {@code locate(dir).map(s -> parse(s, options))}.
     *
     * @param dir the directory to locate the pom for, never {@code null}
     * @param options possible parsing options, may be {@code null}
     * @return an optional parsed {@link Model} or {@code null} if none could be found

     *
     * @param option The option, without the '-' or '--' prefix.
     * @return true if the option was present.
     */
    public boolean hadOptionRemoved(String option) {
        option(option);
        return removedOptions.contains(option);
    }

    /**
     * See also {@link #hasOption}.
     *
     * @param logLevelOptions the options to check

import org.gradle.api.Task;
import org.gradle.api.internal.tasks.options.BooleanOptionElement;
import org.gradle.api.internal.tasks.options.BuiltInOptionElement;
import org.gradle.api.internal.tasks.options.InstanceOptionDescriptor;
import org.gradle.api.internal.tasks.options.OptionDescriptor;
import org.gradle.api.internal.tasks.options.OptionElement;
import org.gradle.api.internal.tasks.options.OptionReader;
import org.gradle.api.specs.Specs;

        then:
        options.size() == ownOptions + builtInOptionCount
        options[0].name == "my-option"
        options[0].description == "Option to trigger creation of opposite option"
        options[1].name == "no-my-option"
        options[1].description == "Option clashing with opposite option"
        options[2].name == "rerun"
        options[2].description == "Causes the task to be re-run even if up-to-date."
    }

	testCases := []optionAvailTest{
		{
			option:            "this-option-does-not-exist",
			expectedAvailable: false,
		},
		{
			option:            PreferClosestNUMANodes,
			expectedAvailable: true,
		},
	}
	for _, testCase := range testCases {
		t.Run(testCase.option, func(t *testing.T) {
			err := CheckPolicyOptionAvailable(testCase.option)
			isEnabled := (err == nil)

	// +optional
	Apply UpgradeApplyConfiguration `json:"apply,omitempty"`

	// Diff holds a list of options that are specific to the "kubeadm upgrade diff" command.
	// +optional
	Diff UpgradeDiffConfiguration `json:"diff,omitempty"`

	// Node holds a list of options that are specific to the "kubeadm upgrade node" command.
	// +optional
	Node UpgradeNodeConfiguration `json:"node,omitempty"`

                @Nested
                public Options getOptions() {
                    return new Options();
                }

                @Nested
                public List<Options> getOptionsList() {
                    return Arrays.asList(new Options());
                }

                @Nested
                public Iterable<Options> getIterableOptions() {

  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.ObjectMeta metadata = 1;

  // Specification of the desired behavior of the PodDisruptionBudget.
  // +optional
  optional PodDisruptionBudgetSpec spec = 2;

  // Most recently observed status of the PodDisruptionBudget.
  // +optional
  optional PodDisruptionBudgetStatus status = 3;
}

// odml_to_stablehlo /path/to/model -o=model.tflite --export-type=tflite
//
// TODO(pulkitb): Add more options.
//  * Verbose - dump intermediate translations.
//  * Choose specific signatures/functions from a saved model.
//  * Options for full/partial conversion, Op exceptions list.
//  * Option to serialize output to TFL flatbuffer format.

using llvm::cl::opt;

// NOLINTNEXTLINE