## Community Contribution License
All community contributions in this pull request are licensed to the project maintainers
under the terms of the [Apache 2 license](https://www.apache.org/licenses/LICENSE-2.0). 
By creating this pull request I represent that I have the right to license the 
contributions to the project maintainers under the Apache 2 license.

## Description


## Motivation and Context


## How to test this PR?

 */

package org.elasticsearch.gradle.internal

import org.elasticsearch.gradle.fixtures.AbstractGradleFuncTest

class ElasticsearchJavaPluginFuncTest extends AbstractGradleFuncTest {

    def "compatibility options are resolved from from build params minimum runtime version"() {
        when:
        buildFile.text = """
        plugins {
          id 'elasticsearch.global-build-info'
        }

# sequenceMap: (NotRequired - Default map:{})
# 
# The relation mappings between sequence and table.
# If you don't specify the mappings, you cannot insert a record of the table by sequence. 
# The table names are treated as case insensitive.
# 
# Example:
# map:{
#     ; PURCHASE     = SEQ_PURCHASE
#     ; MEMBER       = SEQ_MEMBER
#     ; MEMBER_LOGIN = SEQ_MEMBER_LOGIN
#     ; PRODUCT      = SEQ_PRODUCT
# }
#

import java.util.function.UnaryOperator;

import org.apache.maven.api.cli.mvn.MavenOptions;
import org.apache.maven.cling.invoker.LayeredOptions;

/**
 * Options that are "layered" by precedence order.
 *
 * @param <O> the specific type of Maven Options that are layered
 */
public class LayeredMavenOptions<O extends MavenOptions> extends LayeredOptions<O> implements MavenOptions {

 * <i>unsigned</i> (that is, any negative value {@code x} is treated as the positive value {@code
 * 2^64 + x}). The methods for which signedness is not an issue are in {@link Longs}, as well as
 * signed versions of methods for which signedness is an issue.
 *
 * <p>In addition, this class provides several static methods for converting a {@code long} to a

/**
 * Pseudo-configuration for unsupported SLF4J binding.
 *
 * @since 3.2.4
 */
public class UnsupportedSlf4jBindingConfiguration extends BaseSlf4jConfiguration {

    /**
     * @deprecated the arguments are ignored. Use the no-args constructor.
     */
    @Deprecated
    public UnsupportedSlf4jBindingConfiguration(String slf4jBinding, Map<URL, Set<Object>> supported) {}

    public UnsupportedSlf4jBindingConfiguration() {}

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
# Release jobs are very basic. They don't use any caching or RBE,
# but they do upload logs to resultstore.
# IMPORTANT: trailing slash is required on GCS URIs, as it tells gcloud to
# pretend the path is a directory.
TFCI_ARTIFACT_FINAL_GCS_ENABLE=1

 - All StorageClass parameters for volume provisioning are supported.
 - All features supported with PersistentVolumeClaims are supported, such as storage capacity tracking, snapshots and restore, and volume resizing.

### Immutable Secrets and ConfigMaps (beta)

Secret and ConfigMap volumes can be marked as immutable, which significantly reduces load on the API server if there are many Secret and ConfigMap volumes in the cluster.

 * A set comprising zero or more {@linkplain Range#isEmpty nonempty}, {@linkplain
 * Range#isConnected(Range) disconnected} ranges of type {@code C}.
 *
 * <p>Implementations that choose to support the {@link #add(Range)} operation are required to
 * ignore empty ranges and coalesce connected ranges. For example:
 *
 * {@snippet :
 * RangeSet<Integer> rangeSet = TreeRangeSet.create();
 * rangeSet.add(Range.closed(1, 10)); // {[1, 10]}

# Where component owners are known, add them here.

/tensorflow/c/eager @qqfish
/tensorflow/core/common_runtime/eager @qqfish
/tenosrflow/core/debug @caisq
/tensorflow/core/kernels/mkl/ @penpornk
/tensorflow/core/kernels/sparse/ @penpornk
/tensorflow/core/nccl/ @azaks2 @chsigg
/tensorflow/python/autograph/ @mdanatg
/tensorflow/python/debug @caisq
/tensorflow/python/eager @rohan100jain
/tensorflow/tools/docs/ @markdaoust