}

			const loadString = (addr) => {
				const saddr = getInt64(addr + 0);
				const len = getInt64(addr + 8);
				return decoder.decode(new DataView(this._inst.exports.mem.buffer, saddr, len));
			}

			const testCallExport = (a, b) => {
				return this._inst.exports.testExport(a, b);
			}

			const timeOrigin = Date.now() - performance.now();
			this.importObject = {
				_gotest: {
					add: (a, b) => a + b,

		}

		const go = new Go();
		let mod, inst;
		WebAssembly.instantiateStreaming(fetch("test.wasm"), go.importObject).then((result) => {
			mod = result.module;
			inst = result.instance;
			document.getElementById("runButton").disabled = false;
		}).catch((err) => {
			console.error(err);
		});

		async function run() {
			console.clear();
			await go.run(inst);

## Telepítés

<div class="termy">

```console
$ pip install fastapi

---> 100%
```

</div>

A production-höz egy ASGI szerverre is szükség lesz, mint például az <a href="https://www.uvicorn.org" class="external-link" target="_blank">Uvicorn</a> vagy a <a href="https://github.com/pgjones/hypercorn" class="external-link" target="_blank">Hypercorn</a>.

<div class="termy">

\u0ec0\u0e94\u0eb7\u0ead\u0e99",y:"1 \u0e9b\u0eb5",yy:"%d \u0e9b\u0eb5"},dayOfMonthOrdinalParse:/(\u0e97\u0eb5\u0ec8)\d{1,2}/,ordinal:function(e){return"\u0e97\u0eb5\u0ec8"+e}});var zn={ss:"sekund\u0117_sekund\u017ei\u0173_sekundes",m:"minut\u0117_minut\u0117s_minut\u0119",mm:"minut\u0117s_minu\u010di\u0173_minutes",h:"valanda_valandos_valand\u0105",hh:"valandos_valand\u0173_valandas",d:"diena_dienos_dien\u0105",dd:"dienos_dien\u0173_dienas",M:"m\u0117nuo_m\u0117nesio_m\u0117nes\u012f",MM:"m\u0117nesiai_m...

Europe/Guernsey Europe/Helsinki Europe/Isle_of_Man Europe/Istanbul Europe/Jersey Europe/Kaliningrad Europe/Kiev Europe/Kirov Europe/Kyiv Europe/Lisbon Europe/Ljubljana Europe/London Europe/Luxembourg Europe/Madrid Europe/Malta Europe/Mariehamn Europe/Minsk Europe/Monaco Europe/Moscow Europe/Nicosia Europe/Oslo Europe/Paris Europe/Podgorica Europe/Prague Europe/Riga Europe/Rome Europe/Samara Europe/San_Marino Europe/Sarajevo Europe/Saratov Europe/Simferopol Europe/Skopje Europe/Sofia Europe/Stockholm...

             'compilation to reduce the compilation time?'),
      'Eigen strong inline overridden.', 'Not overriding eigen strong inline, '
      'some compilations could take more than 20 mins.'):
    # Due to a known MSVC compiler issue
    # https://github.com/tensorflow/tensorflow/issues/10521
    # Overriding eigen strong inline speeds up the compiling of

       * about one-sixth of them need cloning when a table doubles. The nodes they replace will be
       * garbage collectable as soon as they are no longer referenced by any reader thread that may
       * be in the midst of traversing table right now.
       */

      int newCount = count;
      AtomicReferenceArray<E> newTable = newEntryArray(oldCapacity << 1);
      threshold = newTable.length() * 3 / 4;

       * about one-sixth of them need cloning when a table doubles. The nodes they replace will be
       * garbage collectable as soon as they are no longer referenced by any reader thread that may
       * be in the midst of traversing table right now.
       */

      int newCount = count;
      AtomicReferenceArray<E> newTable = newEntryArray(oldCapacity << 1);
      threshold = newTable.length() * 3 / 4;

       * one-sixth of them need cloning when a table doubles. The nodes they replace will be garbage
       * collectable as soon as they are no longer referenced by any reader thread that may be in
       * the midst of traversing table right now.
       */

      int newCount = count;
      AtomicReferenceArray<ReferenceEntry<K, V>> newTable = newEntryArray(oldCapacity << 1);
      threshold = newTable.length() * 3 / 4;

        available automatically, without requiring an explicit `with
        tf.device(“/gpu:0”)`) (Fixes #14133)
    *   `tf.GradientTape` has moved out of contrib.
*   `tf.keras`:
    *   Added the fashion mnist dataset.
    *   New data preprocessing functions: `image/random_brightness`,
        `sequence/TimeseriesGenerator`, and `text/hashing_trick`.
*   Accelerated Linear Algebra (XLA):