},
        "hungarian_keywords": {
          "type":       "keyword_marker",
          "keywords": ["Helló", "világ", "keresés"]

        },
        "hungarian_keywords": {
          "type":       "keyword_marker",
          "keywords": ["Helló", "világ", "keresés"]

hamburg
hammarfeasta.no
hammerfest.no
hamura.tokyo.jp
hanam.vn
hanamaki.iwate.jp
hanamigawa.chiba.jp
hanawa.fukushima.jp
handa.aichi.jp
handcrafted.jp
hanggliding.aero
hangout
hannan.osaka.jp
hanno.saitama.jp
hanoi.vn
hanyu.saitama.jp
hapmir.no
happou.akita.jp
hara.nagano.jp
haram.no
hareid.no
harima.hyogo.jp
harstad.no
hasama.oita.jp
hasami.nagasaki.jp

hamburg
hammarfeasta.no
hammerfest.no
hamura.tokyo.jp
hanam.vn
hanamaki.iwate.jp
hanamigawa.chiba.jp
hanawa.fukushima.jp
handa.aichi.jp
handcrafted.jp
hanggliding.aero
hangout
hannan.osaka.jp
hanno.saitama.jp
hanoi.vn
hanyu.saitama.jp
hapmir.no
happou.akita.jp
hara.nagano.jp
haram.no
hareid.no
harima.hyogo.jp
harstad.no
hasama.oita.jp
hasami.nagasaki.jp

zimihs!ok?????nu,?g!iti,oyh!.&a&bmat?dnas?gusak?k&at?o&oyot?y??uzarakat??m&ayasas?irah??wa&g&ani?okak??k&i&hci?mak??oy???yi&hsa?monihsin???i&asak?hs&aka?i&at?nawak???j&awa!imanim??emih??k&a&goa?s&agama?ukuf??wihsin??i&hsog?m???mati?oia?rogimak??n&annas?esnonihs??o&gasa!kat??ka?n&ikat?o?ustat??rihsay?sihs?tomus?yas??u&bay?gnihs?????hih,konip,l&b&etah,s,?ik,?mol,nagan!.&a&bukah?d&a&w?yim??e&ki?u??ii??k&a&s&ay?uki??zus??ihsoo?ousay??m&ay&akat?ii??i&hsukufosik?jii??ukihc??n&i!hsetat??uzii??r&ah?ugot...

t._pet._sub.".split("_"),weekdaysMin:"ne_po_ut_sr_\u010de_pe_su".split("_"),weekdaysParseExact:!0,longDateFormat:{LT:"H:mm",LTS:"H:mm:ss",L:"DD.MM.YYYY",LL:"D. MMMM YYYY",LLL:"D. MMMM YYYY H:mm",LLLL:"dddd, D. MMMM YYYY H:mm"},calendar:{sameDay:"[danas u] LT",nextDay:"[sutra u] LT",nextWeek:function(){switch(this.day()){case 0:return"[u] [nedjelju] [u] LT";case 3:return"[u] [srijedu] [u] LT";case 6:return"[u] [subotu] [u] LT";case 1:case 2:case 4:case 5:return"[u] dddd [u] LT"}},lastDay:"[ju\u010der...

*   `tf.experimental.StructuredTensor`

    *   Introduced `tf.experimental.StructuredTensor`, which provides a flexible
        and Tensorflow-native way to encode structured data such as protocol
        buffers or pandas dataframes.

*   `tf.keras`:

    *   Added method `get_metrics_result()` to `tf.keras.models.Model`.
        *   Returns the current metrics values of the model as a dict.

  Here one of the guinea-pigs cheered, and was immediately
suppressed by the officers of the court.  (As that is rather a
hard word, I will just explain to you how it was done.  They had
a large canvas bag, which tied up at the mouth with strings:
into this they slipped the guinea-pig, head first, and then sat
upon it.)

  `I'm glad I've seen that done,' thought Alice.  `I've so often

</p>
<pre>
func Greeting(prefix string, who ...string)
Greeting("nobody")
Greeting("hello:", "Joe", "Anna", "Eileen")
</pre>

<p>
within <code>Greeting</code>, <code>who</code> will have the value
<code>nil</code> in the first call, and
<code>[]string{"Joe", "Anna", "Eileen"}</code> in the second.
</p>

<p>
If the final argument is assignable to a slice type <code>[]T</code> and