0x001d 00029 (x.go:4)	CALL	runtime.printlock(SB)
	0x0022 00034 (x.go:4)	MOVQ	$3, (SP)
	0x002a 00042 (x.go:4)	CALL	runtime.printint(SB)
	0x002f 00047 (x.go:4)	CALL	runtime.printnl(SB)
	0x0034 00052 (x.go:4)	CALL	runtime.printunlock(SB)
	0x0039 00057 (x.go:5)	MOVQ	8(SP), BP
	0x003e 00062 (x.go:5)	ADDQ	$16, SP
	0x0042 00066 (x.go:5)	RET
	0x0043 00067 (x.go:5)	NOP
	0x0043 00067 (x.go:3)	PCDATA	$1, $-1

      mergeAdjacentRanges(
        listOf(
          Mapping(0x0041, 0x0041, TYPE_MAPPED, "a".encodeUtf8()),
          Mapping(0x0042, 0x0042, TYPE_MAPPED, "b".encodeUtf8()),
        ),
      ),
    ).containsExactly(
      Mapping(0x0041, 0x0041, TYPE_MAPPED, "a".encodeUtf8()),
      Mapping(0x0042, 0x0042, TYPE_MAPPED, "b".encodeUtf8()),
    )
  }

  @Test fun simplifyCanonicalizesType() {
    assertThat(

//
// Payload specification:
// Continuation messages have no payload.
var continuationMessage = []byte{
	0, 0, 0, 57, // total byte-length.
	0, 0, 0, 41, // headers byte-length.
	139, 161, 157, 242, // prelude crc.
	13, ':', 'm', 'e', 's', 's', 'a', 'g', 'e', '-', 't', 'y', 'p', 'e', 7, 0, 5, 'e', 'v', 'e', 'n', 't', // headers.

    @JvmField val TLS_RSA_WITH_CAMELLIA_128_CBC_SHA = init("TLS_RSA_WITH_CAMELLIA_128_CBC_SHA", 0x0041)

    // @JvmField val TLS_DH_DSS_WITH_CAMELLIA_128_CBC_SHA = init("TLS_DH_DSS_WITH_CAMELLIA_128_CBC_SHA", 0x0042)
    // @JvmField val TLS_DH_RSA_WITH_CAMELLIA_128_CBC_SHA = init("TLS_DH_RSA_WITH_CAMELLIA_128_CBC_SHA", 0x0043)
    @JvmField val TLS_DHE_DSS_WITH_CAMELLIA_128_CBC_SHA = init("TLS_DHE_DSS_WITH_CAMELLIA_128_CBC_SHA", 0x0044)

ci&lohtac?v??dlq?sat?t&ca?n??wsn???vog!.&a&s?w??civ?dlq?sat???wsn?zo??ti??c!.&bog?fni?gro?moc?t&an?en??ude??i??d&e!.tir.segap-tig,?iab??e!.&noitatsksid,odagod.citsalej,pwtcerid,snd&ps,uolc,?wvrp,ysrab,??g!.&bew?gro?m&aug?oc??ofni?ten?ude?vog???h!.&0002?a&citore?idem?kitore??edszot?gro?ilus?letoh?m&alker?lif?t?urof??naltagni?o&c?ediv?fni?levynok?nisac??pohs?rarga?s&a&kal?zatu??emag?wen??t&lob?rops??virp?xe&s?zs??ytic?zsagoj??os?sut??l!.etisbew321,?m!.&ca?gro?moc?oc?ro?ten?vog???n!.&duolcesirpretn...

    from that library.
*   tf.keras.optimizers default learning rate changes:
    *   Adadelta: 1.000 to 0.001
    *   Adagrad: 0.01 to 0.001
    *   Adamax: 0.002 to 0.001
    *   NAdam: 0.002 to 0.001

## Bug Fixes and Other Changes

*   Documentation
*   Deprecations and Symbol renames.
    *   Remove unused StringViewVariantWrapper