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>)

	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)

	// 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
		}

00000060  1e 18 37 ef 0d 19 51 88  35 75 71 b5 e5 54 5b 12  |..7...Q.5uq..T[.|
00000070  2e 8f 09 67 fd a7 24 20  3e b2 56 1c ce 97 28 5e  |...g..$ >.V...(^|
00000080  f8 2b 2d 4f 9e f1 07 9f  6c 4b 5b 83 56 e2 32 42  |.+-O....lK[.V.2B|
00000090  e9 58 b6 d7 49 a6 b5 68  1a 41 03 56 6b dc 5a 89  |.X..I..h.A.Vk.Z.|
000000a0  14 03 03 00 01 01 17 03  03 00 17 f8 6a 35 d1 d7  |............j5..|

import org.gradle.integtests.fixtures.daemon.DaemonIntegrationSpec
import org.gradle.util.GradleVersion
import org.gradle.util.internal.DefaultGradleVersion
import spock.lang.Issue

@Issue("https://issues.gradle.org/browse/GRADLE-3142")
class LocaleSupportDaemonIntegrationTest extends DaemonIntegrationSpec {

    def locales = [
            LocaleUtils.toLocale("es_MX"),
            LocaleUtils.toLocale("ja_JP"),

000000e0  37 ef 0d 19 51 88 35 75  71 b5 e5 54 5b 12 2e 8f  |7...Q.5uq..T[...|
000000f0  09 67 fd a7 24 20 3e b2  56 1c ce 97 28 5e f8 2b  |.g..$ >.V...(^.+|
00000100  2d 4f 9e f1 07 9f 6c 4b  5b 83 56 e2 32 42 e9 58  |-O....lK[.V.2B.X|
00000110  b6 d7 49 a6 b5 68 1a 41  03 56 6b dc 5a 89        |..I..h.A.Vk.Z.|
>>> Flow 2 (server to client)
00000000  16 03 03 00 5d 02 00 00  59 03 03 1c ad ae e9 64  |....]...Y......d|

TFE_TensorHandle* TestMatrixTensorHandle100x100(TFE_Context* ctx);

// Return a tensor handle containing a 3x2 matrix of doubles
TFE_TensorHandle* DoubleTestMatrixTensorHandle3X2(TFE_Context* ctx);

// Return a tensor handle containing a 3x2 matrix of floats
TFE_TensorHandle* TestMatrixTensorHandle3X2(TFE_Context* ctx);

// Return a variable handle referring to a variable with the given initial value

                        /*unpacked_values=*/{0x01, 0x02, 0x03, 0x04},
                        /*pack_dim=*/0,
                        /*expected_packed_shape=*/{1, 2},
                        /*expected_packed_values=*/{0x31, 0x42});
}

TEST(TfToXlaAttributeUtilsTest, PackOperandPackDimSizeOdd) {
  PackOperandTestHelper(
      /*unpacked_shape=*/{2, 3},
      /*unpacked_values=*/{0x01, 0x02, 0x03, 0x04, 0x05, 0x06},
      /*pack_dim=*/1,

	0x48, 0x8e, 0xf1, 0xc4, 0x23, 0x39, 0xc6, 0x0b, 0x8f, 0xe4, 0x18, 0x6f, 0x3c, 0x92, 0x63, 0x7c,
	0xf0, 0x48, 0x8e, 0x71, 0xc2, 0x63, 0x39, 0x86, 0x28, 0x15, 0x62, 0x42, 0x0a, 0x10, 0x00, 0x00,
	0xff, 0xff, 0x50, 0x91, 0xd0, 0x9c, 0x50, 0x01, 0x00, 0x00,