}

            @Override
            public String getQueryBoostFuzzyContent() {
                return "0.005";
            }

            @Override
            public BigDecimal getQueryBoostFuzzyContentAsDecimal() {
                return new BigDecimal("0.005");
            }

            @Override
            public String getQueryDismaxTieBreaker() {
                return "0.1";

                "xxx:aaa");
        assertQueryBuilder(WildcardQueryBuilder.class, //
                "{\"wildcard\":{\"url\":{\"wildcard\":\"*aaa*\",\"boost\":1.0}}}", //

c?v??dlq?sat?t&ca?n??wsn!.sloohcs????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,s&nd&ps,uolc,?ppatikria,?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