},
        "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

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...

*   `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.

</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