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:

        def componentId = DefaultModuleComponentIdentifier.newId(id)

        def artifacts = [new PublishArtifactLocalArtifactMetadata(componentId, new DefaultPublishArtifact("art1", "zip", "art", null, new Date(), new File("art1.zip")))]
        def defaultVariant = createConfigurationMetadata("default", componentId, [], artifacts)

        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 {

  auto* arg0 = TF_AddFunctionParameter(graph_ctx, TF_FLOAT, {-1, nullptr}, s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  auto* arg1 = TF_AddFunctionParameter(graph_ctx, TF_FLOAT, {-1, nullptr}, s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  // Create a first "Add" computing `arg0 + arg1`.
  TF_AbstractTensor* add_output1;
  {
    // Build an abstract operation, inputs and output.

func.func private @f(%arg0: tensor<f32>, %arg1: tensor<f32>) -> tensor<f32> {
  "SomeOp"(%arg1) : (tensor<f32>) -> ()
  return %arg1 : tensor<f32>
}

// CHECK-LABEL: removes_first_arg
func.func @removes_first_arg(%arg0: tensor<f32>, %arg1: tensor<f32>) -> tensor<f32> {
  // CHECK: call{{.*}}(%arg1)
  %1 = func.call @f(%arg0, %arg1) : (tensor<f32>, tensor<f32>) -> tensor<f32>
  return %1 : tensor<f32>
}

func.func @test_batch_matmul_to_einsum(%arg0: tensor<1x2x3xf32>, %arg1: tensor<3x4xf32>) -> tensor<1x2x4xf32> {
  // CHECK-LABEL: test_batch_matmul_to_einsum
  // CHECK: "tf.Einsum"(%arg0, %arg1) <{equation = "...mk,...kn->...mn"}> : (tensor<1x2x3xf32>, tensor<3x4xf32>) -> tensor<1x2x4xf32>
  %0 = "tf.BatchMatMul"(%arg0, %arg1) {adj_x = false, adj_y = false} : (tensor<1x2x3xf32>, tensor<3x4xf32>) -> tensor<1x2x4xf32>

		{name: "ADDF", argLength: 2, reg: fp21, asm: "ADDF", commutative: true},   // arg0 + arg1
		{name: "ADDD", argLength: 2, reg: fp21, asm: "ADDD", commutative: true},   // arg0 + arg1
		{name: "SUBF", argLength: 2, reg: fp21, asm: "SUBF"},                      // arg0 - arg1
		{name: "SUBD", argLength: 2, reg: fp21, asm: "SUBD"},                      // arg0 - arg1
		{name: "MULF", argLength: 2, reg: fp21, asm: "MULF", commutative: true},   // arg0 * arg1

		{name: "I64Ne", asm: "I64Ne", argLength: 2, reg: gp21, typ: "Bool"},   // arg0 != arg1
		{name: "I64LtS", asm: "I64LtS", argLength: 2, reg: gp21, typ: "Bool"}, // arg0 < arg1 (signed)
		{name: "I64LtU", asm: "I64LtU", argLength: 2, reg: gp21, typ: "Bool"}, // arg0 < arg1 (unsigned)
		{name: "I64GtS", asm: "I64GtS", argLength: 2, reg: gp21, typ: "Bool"}, // arg0 > arg1 (signed)

  // CHECK-NEXT:  mhlo.minimum %arg0, %arg1 : tensor<4xf32>
  %0 = "tf.Minimum"(%arg0, %arg1) : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32>
  func.return %0 : tensor<4xf32>
}

// CHECK-LABEL: func @mod
// CHLO-LABEL: func @mod
func.func @mod(%arg0: tensor<4xf32>, %arg1: tensor<4xf32>) -> tensor<4xf32> {
  // CHECK-NEXT:  mhlo.remainder %arg0, %arg1 : tensor<4xf32>