then:
        assertArtifacts("a", ["mymodule", "art2", "art3", "art4", "art5"])

        and:
        assertArtifact('mymodule', 'jar', 'jar', null)
        assertArtifact('art2', 'ext', 'type', null)
        assertArtifact('art3', 'type2', 'type2', 'classy1')
        assertArtifact('art4', 'ext', 'jar', 'classy2')
        assertArtifact('art5', 'jar', 'jar', 'classy3')
    }

// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

package art

import (
	_ "embed"

	"github.com/fatih/color"
)

//go:embed istio-ascii.txt
var istioASCIIArt string

func IstioArt() string {
	return istioASCIIArt
}

func IstioColoredArt() string {

    def "uses artifacts defined by dependency descriptor"() {
        def artifact1 = new Artifact(new DefaultIvyArtifactName("art1", "type", "ext"), ["config"] as Set)
        def artifact2 = new Artifact(new DefaultIvyArtifactName("art2", "type", "ext"), ["other"] as Set)
        def artifact3 = new Artifact(new DefaultIvyArtifactName("art3", "type", "ext"), ["super"] as Set)

        given:

                    resolvedArtifacts.map { arts ->
                        arts.collect { art ->
                            objects.newInstance(ResolvedArtifactBean).tap { bean ->
                                bean.file = art.file
                                bean.id = art.id
                                bean.type = art.type
                                bean.variant = art.variant
                            }

func.func @replace_multiple_outputs(%arg0: tensor<i1>, %arg1: tensor<i32>, %arg2: tensor<i64>, %arg3: tensor<f32>, %arg4: tensor<f64>, %arg5: tensor<!tf_type.resource>, %arg6: tensor<!tf_type.resource>) {
  // CHECK:      {{%.+}}:3 = "tf_device.parallel_execute"

// CHECK-SAME: %[[ARG_7:[a-z0-9]*]]: tensor<!tf_type.string>
func.func @check_enqueue_ops_update_for_eval(%arg0: tensor<?x2xi32>, %arg1: tensor<?x2xi32>,
  %arg2 :tensor<?x2xi32>, %arg3: tensor<?xi32>, %arg4: tensor<?xi32>, %arg5: tensor<?xi32>,
  %arg6: tensor<!tf_type.string>, %arg7: tensor<!tf_type.string>) -> () {
  // CHECK: %[[CONST_0:.*]] = "tf.Const"()
  %0 = "tf.Const"() {value = dense<[]> : tensor<0xf32>} : () -> tensor<0xf32>

// Ensure lstm roundtrip exactly

            getExtension() >> "art-ext"
            getType() >> "art-type"
            getClassifier() >> "art-classifier"
        }

        when:
        1 * publishArtifact.getName() >> "art-name"

        then:
        def name = DefaultIvyArtifactName.forPublishArtifact(publishArtifact)
        name.name == "art-name"
        name.extension == "art-ext"
        name.type == "art-type"

      %arg3: tensor<1x500x4x4xf32>, %arg4: tensor<1x500x4x4xf32>, %arg5: tensor<1x1x100x500xf32>, %arg6: tensor<f32>)
      -> tensor<1x100x32x4xf32> {

func.func @testUnidirectionalSequenceLstmShapeInference(%arg0: tensor<600 x 10 x 20 x f32>, %arg1: tensor<? x ? x f32>, %arg2: tensor<? x ? x f32>, %arg3: tensor<? x ? x f32>, %arg4: tensor<? x ? x f32>, %arg5: tensor<? x ? x f32>, %arg6: tensor<? x ? x f32>, %arg7: tensor<? x ? x f32>, %arg8: tensor<? x ? x f32>, %arg9: tensor<? x f32>, %arg10: tensor<? x f32>, %arg11: tensor<? x f32>, %arg12: tensor<? x f32>, %arg13: tensor<? x f32>, %arg14: tensor<? x...