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:

// 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 {

                    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
                            }

module {
  func.func public @main(%arg0: tensor<3x3xf32>, %arg1: tensor<3x3xf32>, %arg2: tensor<1x100x32x4xf32>,
      %arg3: tensor<1x500x4x4xf32>, %arg4: tensor<1x500x4x4xf32>, %arg5: tensor<1x1x100x500xf32>, %arg6: tensor<f32>)
      -> tensor<1x100x32x4xf32> {

    ^bb0(%arg2: tensor<*xi32>, %arg3: tensor<*xf32>):
      // CHECK: call @WhileOp_cond
      // CHECK-SAME: (tensor<*xi32>, tensor<*xf32>)
      %cst_0 = arith.constant dense<0> : tensor<i32>
      %1 = "tfl.greater"(%arg2, %cst_0) : (tensor<*xi32>, tensor<i32>) -> tensor<i1>
      "tfl.yield"(%1) : (tensor<i1>) -> ()
  },  {
    ^bb0(%arg2: tensor<*xi32>, %arg3: tensor<*xf32>):
      // CHECK: call @WhileOp_body

  %1 = "tf.Transpose"(%arg3, %cst) {T = f32, Tperm = i32, device = ""} : (tensor<*xf32>, tensor<2xi32>) -> tensor<?x?xf32>
  %2 = "tf.Rank"(%arg3) : (tensor<*xf32>) -> tensor<i32>
  %3 = "tf.Range"(%2, %cst_0, %cst_1) : (tensor<i32>, tensor<i32>, tensor<i32>) -> tensor<?xi32>
  %4 = "tf.Sub"(%3, %cst_2) : (tensor<?xi32>, tensor<i32>) -> tensor<?xi32>
  %5 = "tf.Transpose"(%arg3, %4) : (tensor<*xf32>, tensor<?xi32>) -> tensor<*xf32>

// Ensure lstm roundtrip exactly

    reducer(%arg1: tensor<i1>, %arg3: tensor<i1>) (%arg2: tensor<i32>, %arg4: tensor<i32>)  {
    %4 = mhlo.compare  GT, %arg1, %arg3 : (tensor<i1>, tensor<i1>) -> tensor<i1>
    %5 = mhlo.select %4, %arg1, %arg3 : tensor<i1>, tensor<i1>
    %6 = mhlo.compare  EQ, %arg1, %arg3 : (tensor<i1>, tensor<i1>) -> tensor<i1>

// Ensure basic_lstm roundtrip exactly

func.func @main(%arg0: tensor<1x384xf32>, %arg1: tensor<1x96xf32>, %arg2: tensor<384x480xf32>, %arg3: tensor<384xf32>, %arg4: tensor<1x96xf32>) -> tensor<1x96xf32> {
// CHECK-LABEL: @main

  %outputs =  "tf.Less"(%arg0, %arg3) {device = "/job:localhost/replica:0/task:0/device:CPU:0"} : (tensor<i32>, tensor<i32>) -> tensor<i1>