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
                            }

    %6 = mhlo.compare  GE, %arg1, %arg3 : (tensor<i32>, tensor<i32>) -> tensor<i1>
    %7 = mhlo.select %6, %arg1, %arg3 : tensor<i1>, tensor<i32>
    %8 = mhlo.compare  EQ, %arg1, %arg3 : (tensor<i32>, tensor<i32>) -> tensor<i1>
    %9 = mhlo.minimum %arg2, %arg4 : tensor<i32>
    %10 = mhlo.select %6, %arg2, %arg4 : tensor<i1>, tensor<i32>

// Ensure lstm roundtrip exactly

// CHECK-LABEL: testUnidirectionalSequenceLstmShapeInference

    // CHECK: "mhlo.batch_norm_inference"({{.*}}, %arg1, %arg2, %arg3, %arg4) <{epsilon = 1.000000e-03 : f32, feature_index = 3 : i64}> : (tensor<8x8x8x8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>) -> tensor<8x8x8x8xf32>

    %9 = "tf.Const"() {value = dense<10> : tensor<i32>} : () -> tensor<i32>
    %10 = "tf.Less"(%arg3, %9) {device = ""} : (tensor<i32>, tensor<i32>) -> tensor<i1>
    "tfl.yield"(%10) : (tensor<i1>) -> ()
  },  {
  ^bb0(%arg1: tensor<i32>, %arg2: tensor<i32>, %arg3: tensor<i32>, %arg4: tensor<!tf_type.resource>, %arg5: tensor<f32>):

        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)

                            confs += it
                        }
                    }
                    def attrs = [name: art.name, type: art.type, ext: art.ext, conf: confs.join(',')]
                    if (art.classifier) {
                        attrs["m:classifier"] = art.classifier
                    }
                    builder.artifact(attrs)
                }
            }
        }

  ^bb0(%arg4: tensor<4xf32>):
    %1 = func.call @init(%arg4) : (tensor<4xf32>) -> tensor<7xf32>
    "tf.Yield"(%1) : (tensor<7xf32>) -> ()
  }, {
  ^bb0(%arg4: tensor<7xf32>, %arg5: tensor<3xf32>):
    %1 = func.call @next(%arg4, %arg5) : (tensor<7xf32>, tensor<3xf32>) -> tensor<6xf32>
    "tf.Yield"(%1) : (tensor<6xf32>) -> ()
  }, {
  ^bb0(%arg4: tensor<6xf32>, %arg5: tensor<2xf32>):