Experimental properties MUST NOT be supplemented with command-line options.
They can always be passed via `-D` on the command line.
The feature should leave the experimental stage to receive a build option.

The difference between internal properties and experimental properties is the amount of publicity they are intended to receive.
If the intention is to gather user feedback on an early prototype, then the experimental property should be used.

        "//tensorflow/c:tf_status_helper",
        "//tensorflow/c/experimental/gradients:array_grad",
        "//tensorflow/c/experimental/gradients:math_grad",
        "//tensorflow/c/experimental/gradients:not_differentiable",
        "//tensorflow/c/experimental/gradients/tape:tape_context",
        "//tensorflow/c/experimental/ops",
        "//tensorflow/compiler/mlir/tensorflow/c:mlir_c_api_registration",

    ] + select({
        "//tensorflow:android": [
            "//tensorflow/c/experimental/stream_executor:stream_executor_hdrs",
            "//tensorflow/core:portable_tensorflow_lib_lite",
        ],
        "//conditions:default": [
            ":tf_tensor",
            "//tensorflow/c/experimental/stream_executor",
            "//tensorflow/c/experimental/stream_executor:stream_executor_internal",
            "//tensorflow/core:framework",

        "//tensorflow/c/eager:tfe_op_internal",
        "//tensorflow/c/eager:tfe_tensorhandle_internal",
        "//tensorflow/c/experimental/gradients",
        "//tensorflow/c/experimental/gradients/tape",
        "//tensorflow/c/experimental/next_pluggable_device:c_api",
        "//tensorflow/c/experimental/ops",
        "//tensorflow/c:c_api_experimental",
        "//tensorflow/c:c_api_internal",
        "//tensorflow/c:c_api_no_xla",

//tensorflow/python/feature_column:vocabulary_testdata
//tensorflow/python/util:nest_test_main_lib
//tensorflow/lite/experimental/examples/lstm:rnn_cell
//tensorflow/lite/experimental/examples/lstm:rnn_cell.py
//tensorflow/lite/experimental/examples/lstm:unidirectional_sequence_lstm_test
//tensorflow/lite/experimental/examples/lstm:unidirectional_sequence_lstm_test.py
//tensorflow/lite/python:interpreter
//tensorflow/lite/python:interpreter_test

 * under the License.
 */
package org.apache.maven.api.services;

import org.apache.maven.api.annotations.Consumer;
import org.apache.maven.api.annotations.Experimental;

/**
 * @since 4.0.0
 */
@Experimental
@Consumer
public class TransportProviderException extends MavenException {

    public TransportProviderException(String message, Throwable cause) {
        super(message, cause);
    }

 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.api.services;

import org.apache.maven.api.annotations.Experimental;

@Experimental
public class DependencyResolverException extends MavenException {

    public DependencyResolverException(String message, Throwable cause) {
        super(message, cause);
    }

 * under the License.
 */
package org.apache.maven.api.services;

import org.apache.maven.api.annotations.Experimental;

/**
 * The Exception class throw by the {@link ToolchainsBuilder}.
 *
 * @since 4.0.0
 */
@Experimental
public class ToolchainsBuilderException extends MavenBuilderException {

    /**
     * @param message the message to give

 * under the License.
 */
package org.apache.maven.api.services;

import org.apache.maven.api.annotations.Experimental;

/**
 * The Exception class throw by the {@link SettingsBuilder}.
 *
 * @since 4.0.0
 */
@Experimental
public class SettingsBuilderException extends MavenBuilderException {

    /**
     * @param message the message to give

 * under the License.
 */
package org.apache.maven.api.services;

import org.apache.maven.api.annotations.Consumer;
import org.apache.maven.api.annotations.Experimental;

/**
 * @since 4.0.0
 */
@Experimental
@Consumer
public class VersionRangeResolverException extends MavenException {

    public VersionRangeResolverException(String message, Throwable cause) {
        super(message, cause);