func.func private @handles_all_versions() {
  // CHECK: "tf.Iterator"
  // CHECK-SAME: 1x42
  %0 = "tf.AnonymousIterator"() {output_shapes = [
    #tf_type.shape<1x42>], output_types = [f32]} : () -> tensor<!tf_type.resource>
  // CHECK: "tf.Iterator"
  // CHECK-SAME: 2x42
  %1, %2 = "tf.AnonymousIteratorV2"() {output_shapes = [
    #tf_type.shape<2x42>], output_types = [f32]} : () -> (tensor<!tf_type.resource>, tensor<!tf_type.variant>)

video-005.gray.q50.2x2.jpeg...

video-005.gray.q50.2x2.progressive.jpeg...

	o = append(o, 0x82, 0xb5, 0x4c, 0x69, 0x6d, 0x69, 0x74, 0x49, 0x6e, 0x42, 0x79, 0x74, 0x65, 0x73, 0x50, 0x65, 0x72, 0x53, 0x65, 0x63, 0x6f, 0x6e, 0x64)
	o = msgp.AppendInt64(o, z.LimitInBytesPerSecond)
	// string "CurrentBandwidthInBytesPerSecond"
	o = append(o, 0xd9, 0x20, 0x43, 0x75, 0x72, 0x72, 0x65, 0x6e, 0x74, 0x42, 0x61, 0x6e, 0x64, 0x77, 0x69, 0x64, 0x74, 0x68, 0x49, 0x6e, 0x42, 0x79, 0x74, 0x65, 0x73, 0x50, 0x65, 0x72, 0x53, 0x65, 0x63, 0x6f, 0x6e, 0x64)

    }

    def "copies input array"() {
        given:
        int[] components = [ 23, 42 ]
        def version = CacheVersion.of(components)

        when:
        components[0] = 0
        components[1] = 1

        then:
        version == CacheVersion.of(23, 42)
    }

    def "returns new instance when appending"() {
        given:
        def version = CacheVersion.of(1)

	// map header, size 8
	// write "Bucket"
	err = en.Append(0x88, 0xa6, 0x42, 0x75, 0x63, 0x6b, 0x65, 0x74)
	if err != nil {
		return
	}
	err = en.WriteString(z.Bucket)
	if err != nil {
		err = msgp.WrapError(err, "Bucket")
		return
	}
	// write "BaseDir"
	err = en.Append(0xa7, 0x42, 0x61, 0x73, 0x65, 0x44, 0x69, 0x72)
	if err != nil {
		return
	}
	err = en.WriteString(z.BaseDir)

	}
	for zb0007, zb0008 := range z {
		err = en.WriteString(zb0007)
		if err != nil {
			err = msgp.WrapError(err)
			return
		}
		// map header, size 2
		// write "Bins"
		err = en.Append(0x82, 0xa4, 0x42, 0x69, 0x6e, 0x73)
		if err != nil {
			return
		}
		err = en.WriteArrayHeader(uint32(24))
		if err != nil {
			err = msgp.WrapError(err, zb0007, "Bins")
			return
		}

        !accept("]1.0,)", "0")
        !accept("]1.0,)", "1")
        !accept("]1.0,)", "1.0")

        !accept("(,2.0]", "2.0.1")
        !accept("(,2.0]", "42")

        !accept("(,2.0[", "2.0")
        !accept("(,2.0[", "42")
    }

    def "rejects candidate versions that don't fall into the selector's range (adding qualifiers to the mix)"() {
        expect:

// When a T is deallocated, T[1] is certain to
// get clobbered (the runtime writes 0xdeaddeaddeaddead there).
type T [4]int

func f() (r, s *T) {
	r = &T{0x30, 0x31, 0x32, 0x33}
	runtime.GC()
	s = &T{0x40, 0x41, 0x42, 0x43}
	runtime.GC()
	return
}

func main() {
	r, s := f()
	if r[1] != 0x31 {
		fmt.Printf("bad r[1], want 0x31 got %x\n", r[1])
	}
	if s[1] != 0x41 {
		fmt.Printf("bad s[1], want 0x41 got %x\n", s[1])

    // CHECK: name: "ba.r"
    %3:2 = tf_executor.island wraps "tf.Const"() {dtype = "tfdtype$DT_INT32", value = dense<2> : tensor<i32>} : () -> (tensor<i32>) loc("ba r")
    // CHECK: name: "2"
    %4:2 = tf_executor.island wraps "tf.Const"() {dtype = "tfdtype$DT_INT32", value = dense<3> : tensor<i32>} : () -> (tensor<i32>) loc("2")
    // CHECK: name: "_3"