}
        }
        if (specs.size() == 1) {
            return specs.get(0);
        }
        return Specs.intersect(specs);
    }

    private void validateLowestTestedVersion(String constraint, String value, GradleVersion minVersion) {

 */

package org.gradle.integtests.tooling.fixture

import org.gradle.util.GradleVersion
import spock.lang.Specification

class GradleVersionSpecTest extends Specification {
    def "greater-than-or-equal version constraint matches all versions with specified base version and later"() {
        def spec = new GradleVersionSpec().toSpec(">=1.0")

        expect:
        spec.isSatisfiedBy(GradleVersion.version("1.0"))

                    (TFL_HardSwishOp $input)>;

def IsNchwLayoutOp: Constraint<CPred<
  "$0.get(\"is_nchw_op\") && $0.get(\"is_nchw_op\").dyn_cast<BoolAttr>() "
      "== mlir::BoolAttr::get($_builder.getContext(), true)">>;

def IsNhwcLayoutOp: Constraint<Neg<IsNchwLayoutOp.predicate>>;

// TODO(b/343278954): Move the creation of transposes to a separate prepare pass

            val selector = readNonNull<ComponentSelector>()
            val constraint = readBoolean()
            LocalComponentDependencyMetadata(
                selector,
                null,
                emptyList(),
                emptyList(),
                false,
                false,
                true,
                constraint,
                false,
                null
            )
        }

            EdgeState target = Iterators.getLast(path.iterator());
            StringBuilder sb = new StringBuilder();
            if (target.getSelector().getDependencyMetadata().isConstraint()) {
                sb.append("Constraint path ");
            } else {
                sb.append("Dependency path ");
            }
            boolean first = true;
            String variantDetails = null;
            for (EdgeState e : path) {

}

// IndexName generate index name
func (ns NamingStrategy) IndexName(table, column string) string {
	return ns.formatName("idx", table, ns.toDBName(column))
}

// UniqueName generate unique constraint name
func (ns NamingStrategy) UniqueName(table, column string) string {
	return ns.formatName("uni", table, ns.toDBName(column))
}

func (ns NamingStrategy) formatName(prefix, table, name string) string {

/**
 * A candidate that is applicable for a call. A candidate is applicable if the call's arguments are complete and are assignable to the
 * candidate's parameters, AND the call's type arguments are complete and fit all the constraints of the candidate's type parameters.
 */
public class KaApplicableCallCandidateInfo(
    candidate: KaCall,
    isInBestCandidates: Boolean,
) : KaCallCandidateInfo(candidate, isInBestCandidates)

     *
     * @since 5.3
     */
    List<Capability> getRequestedCapabilities();

    /**
     * Endorse version constraints with {@link VersionConstraint#getStrictVersion()} strict versions} from the target module.
     *
     * Endorsing strict versions of another module/platform means that all strict versions will be interpreted during dependency

    /**
     * Only nag about tasks that are actually executing, but not tasks that are configured by the executing tasks.
     * A task is unlikely to reach out to other tasks without violating other constraints.
     **/
    private
    fun shouldReportInContext(task: TaskInternal, runningTask: TaskInternal?) =
        runningTask == null || task === runningTask

    private

#define DEBUG_TYPE "run-tf-graph-optimization"

namespace tensorflow {
namespace {
// Creates a pass to convert MLIR to Graph, run user-specified Graph
// Optimization Passes and convert back to MLIR.
// Constraints: This pass expects that all operations in the MLIR module either
// belong to 'tf' or '_tf' dialect. The output is in '_tf' dialect.
class GraphOptPass
    : public mlir::PassWrapper<GraphOptPass,