var copy_f0 = f0
var copy_f1 = f1

// var copy_gx = gx
var copy_g0 = g0
var copy_g1 = g1

// var copy_ix = ix
var copy_i0 = i0
var copy_i1 = i1

// var copy_jx = jx
var copy_j0 = j0
var copy_j1 = j1

// var copy_cx = cx
var copy_c0 = c0
var copy_c1 = c1

// var copy_dx = dx
var copy_d0 = d0
var copy_d1 = d1

// var copy_sx = sx
var copy_s0 = s0
var copy_s1 = s1

        # Construct the destination assets file path.
        curr_dst_dir = curr_dir.replace(src_assets_path, dst_assets_path)
        dst_asset_file = file_io.join(curr_dst_dir, asset_file_name)

        file_io.copy_v2(src_asset_file, dst_asset_file)
        logging.info(
            'Copied asset file: %s -> %s', src_asset_file, dst_asset_file
        )


def _validate_representative_dataset(

//    would increase the amount of work on GPU 0 waiting on work on GPU 1.
//    However, cloning Const into two copies, one for GPU_0_Y and one for GPU_1
//    will let us create one cluster containing {Const/copy_0, GPU_1} and
//    another containing {Const/copy_1, GPU_0_X, GPU_0_Y}.
//
// We only clone small host constants now to avoid increasing memory consumption
// too much.  Moreover, in practice the constants we have to duplicate are

        def copy1 = storeAndLoad(block1)
        def copy2 = storeAndLoad(block2)

        read(copy2) == "test 2"
        read(copy1) == "test 1"
    }

    def "can persist block address and read block later"() {
        expect:
        def block1 = write("test 1")
        def block2 = write("test 2")

        def copy1 = storeAndLoad(block1)
        def copy2 = storeAndLoad(block2)

        def dest = store()

        def original2 = ["123"] as String[]
        def isolated2 = isolatableFactory.isolate(original2)
        isolated2 instanceof IsolatedArray
        def copy2 = isolated2.isolate()
        copy2 == ["123"] as String[]
        copy2.class == String[].class
        !copy2.is(original2)
    }

    def "creates isolated list"() {
        expect:
        def original1 = []

                from file('source1')
                into file('target')
            }

            task copy2(type: Copy) {
                from file('source2')
                into file('target')
            }

            task copyAll {
                dependsOn copy1, copy2
            }
        """

        when:
        result = runWithMostRecentFinalRelease(taskPath)

        then:

        "TaskProvider"                   | "copy1"                | "[copy1]"
        "Array[Task, TaskProvider]"      | "copy1.get(), copy2"   | "[copy1, copy2]"
        "Collection(Task, TaskProvider)" | "[copy1.get(), copy2]" | "[copy1, copy2]"
    }

    def "using a tasks from another project as 'files(#type)' input is prohibited"() {
        settingsFile << """
            include ':foo'
        """

        state2.length == 2
        state2[0] == "name"
        state2[1] == [12] as Set

        def copy2 = managedFactoryRegistry.lookup(bean.getFactoryId()).fromState(InterfaceBean, state2)
        !copy2.is(bean)
        copy2.name == "name"
        copy2.numbers == [12] as Set
    }

    def canConstructInstanceOfInterfaceWithPrimitivePropertyGetterAndSetter() {

      },
      "content": {
        "type": "text",
        "analyzer": "standard_analyzer",
        "search_analyzer": "standard_search_analyzer",
        "term_vector": "with_positions_offsets",
        "copy_to": ["content_minhash_bits"]
      },
      "content_minhash": {
        "type": "text",
        "index": false
      },
      "content_minhash_bits": {
        "type": "minhash",
        "bit_string": true,

  // CHECK-DAG: %[[COPY2:.*]] = "tf.TPUCopyWithLayout"(%[[ITER1]]#0, %[[LAYOUT0]]) {device = "/device:TPU:1"}
  // CHECK-DAG: %[[COPY3:.*]] = "tf.TPUCopyWithLayout"(%[[ITER1]]#1, %[[LAYOUT1]]) {device = "/device:TPU:1"}
  // CHECK: tf_device.replicate([%[[COPY0]], %[[COPY2]]] as %[[R0:.*]]: tensor<3x3x1x32xf32>, [%[[COPY1]], %[[COPY3]]] as %[[R1:.*]]: tensor<3x3x1x32xf32>)