Finally, Gradle selects the appropriate variant by looking at the variant attributes:

- the consumer wants a variant with attributes `org.gradle.usage=java-api`
- the producer has a matching variant (`apiElements`)
- the producer has a non-matching variant (`runtimeElements`)

Gradle provides the artifacts and dependencies from the `apiElements` variant to the consumer.

== A more complicated example

  %1 = "tf.AddN"(%arg0, %arg1) : (tensor<!tf_type.variant<tensor<*xi32>>>, tensor<!tf_type.variant<tensor<*xi32>>>) -> tensor<!tf_type.variant<tensor<*xi32>>>

      f = @identity} : (tensor<!tf_type.variant<tensor<f32>>>) -> tensor<!tf_type.variant<tensor<f32>>>
  %2 = "tf.OptionalGetValue"(%1) : (tensor<!tf_type.variant<tensor<f32>>>) -> tensor<f32>
  %3 = "tf.OptionalNone"() : () -> tensor<!tf_type.variant<tensor<f32>>>
  return %2, %3 : tensor<f32>, tensor<!tf_type.variant<tensor<f32>>>
}

func.func private @identity(%arg0: tensor<!tf_type.variant<tensor<f32>>>) -> tensor<!tf_type.variant<tensor<f32>>> {

    }

    private static void assertAttributes(GradleModuleMetadata.Variant variant, Map<String, Object> expected) {
        assert variant.attributes.size() == expected.size()
        expected.each { attribute, value ->
            assert variant.attributes.containsKey(attribute)
            assert variant.attributes[attribute] == value
        }
    }

    void assertNoDependencies() {

    @Unroll("Selects variant #expectedVariant using custom attribute value #attributeValue")
    def "attribute value is used during selection"() {
        given:
        repository {
            'org:test:1.0' {
                variant('api') {
                    attribute('custom', 'c1')
                }
                variant('runtime') {
                    attribute('custom', 'c2')

Variant legacy (l)
--------------------------------------------------
My custom legacy configuration""")

        and:
        hasLegacyLegend()
        doesNotHaveIncubatingLegend()
        doesNotPromptForRerunToFindMoreConfigurations()
    }

    def "if single outgoing variant with no attributes or artifacts present, task reports it"() {
        given:

        when:
        variant.artifacts

        then:
        1 * rule.execute(_)

        when:
        variant.artifacts
        variant.artifacts
        variant.artifacts

        then:
        0 * rule.execute(_)

        where:
        metadataType | metadata
        "maven"      | mavenComponentMetadata()
        "ivy"        | ivyComponentMetadata()

    return VariantBinaryAddFunc(
        cc_ctx, cc_a.scalar<Variant>()(), cc_b.scalar<Variant>()(),
        cc_out->scalar<Variant>().data(), binary_add_func);
  } else {
    binary_add_func(ctx, a, b, out);
    return cc_ctx->status();
  }
}

static Status VariantBinaryAddFunc(
    ::tensorflow::OpKernelContext* cc_ctx, const Variant& a, const Variant& b,
    Variant* out,

    %2 = "tf.Identity"(%1) : (tensor<!tf_type.variant<tensor<f32>>>) -> (tensor<!tf_type.variant<tensor<f32>>>)
    "tf.Identity"(%2) : (tensor<!tf_type.variant<tensor<f32>>>) -> (tensor<!tf_type.variant<tensor<f32>>>)
    tf_device.return
  }) {cluster_attr = "cluster_attr"} : () -> ()
  func.return
}

		pc := &meshconfig.ProxyConfig{}
		if err := protomarshal.ApplyYAML(v, pc); err == nil {
			if pc.GetImage().GetImageType() != "" {
				variant = pc.GetImage().GetImageType()
			}
		}
	}
	if variant == "default" {
		variant = ""
	}
	return variant
}

func NewEffectiveProxyConfigResolver(c analysis.Context) *EffectiveProxyConfigResolver {
	mc := &meshconfig.MeshConfig{}
	rootNamespace := ""