int behavior = random.nextInt(4);
            if (behavior == 0) { // throw an exception
              exceptionCount.incrementAndGet();
              throw new RuntimeException("fake exception for test");
            } else if (behavior == 1) { // return null
              computeNullCount.incrementAndGet();
              return null;
            } else if (behavior == 2) { // slight delay before returning

            int behavior = random.nextInt(4);
            if (behavior == 0) { // throw an exception
              exceptionCount.incrementAndGet();
              throw new RuntimeException("fake exception for test");
            } else if (behavior == 1) { // return null
              computeNullCount.incrementAndGet();
              return null;
            } else if (behavior == 2) { // slight delay before returning

	FMOVD	F0, 4096(R1)           // ed0010000167
	FMOVS	F13, 4095(R2)(R3)      // 70d32fff
	FMOVS	F13, 4096(R2)(R3)      // edd320000166

	FADDS	F0, F15                // b30a00f0
	FADD	F1, F14                // b31a00e1
	FSUBS	F2, F13                // b30b00d2
	FSUB	F3, F12                // b31b00c3
	FMULS	F4, F11                // b31700b4
	FMUL	F5, F10                // b31c00a5

This "waiting" 🕙 is measured in microseconds, but still, summing it all, it's a lot of waiting in the end.

That's why it makes a lot of sense to use asynchronous ⏸🔀⏯ code for web APIs.

This kind of asynchronicity is what made NodeJS popular (even though NodeJS is not parallel) and that's the strength of Go as a programming language.

And that's the same level of performance you get with **FastAPI**.

	var paxHdrs map[string]string
	var gnuLongName, gnuLongLink string

	// Externally, Next iterates through the tar archive as if it is a series of
	// files. Internally, the tar format often uses fake "files" to add meta
	// data that describes the next file. These meta data "files" should not
	// normally be visible to the outside. As such, this loop iterates through
	// one or more "header files" until it finds a "normal file".

 *       #reverse reverse} views of these.
 *   <li>Convert between specific preset values using {@link
 *       com.google.common.collect.Maps#asConverter Maps.asConverter}. For example, use this to
 *       create a "fake" converter for a unit test. It is unnecessary (and confusing) to <i>mock</i>
 *       the {@code Converter} type using a mocking framework.

The value of <code>GOMIPS</code> environment variable (<code>hardfloat</code> or
<code>softfloat</code>) is made available to assembly code by predefining either
<code>GOMIPS_hardfloat</code> or <code>GOMIPS_softfloat</code>.
</p>

<p>
The value of <code>GOMIPS64</code> environment variable (<code>hardfloat</code> or
<code>softfloat</code>) is made available to assembly code by predefining either

        .readTimeout(Duration.ofMillis(100))
        .build()
    val request = Request.Builder().url(server.url("/")).build()
    assertFailsWith<InterruptedIOException> {
      // If this succeeds, too many requests were made.
      client.newCall(request).execute()
    }
  }

  /**
   * Make a request with two routes. The first route will time out because it's connecting to a

```
.
├── Dockerfile
├── main.py
└── requirements.txt
```

Dann müssten Sie nur noch die entsprechenden Pfade ändern, um die Datei im `Dockerfile` zu kopieren:

```{ .dockerfile .annotate hl_lines="10  13" }
FROM python:3.9

WORKDIR /code

COPY ./requirements.txt /code/requirements.txt

  opts = TF_NewImportGraphDefOptions();
  TF_ImportGraphDefOptionsSetPrefix(opts, "imported");
  TF_ImportGraphDefOptionsAddInputMapping(opts, "scalar", 0, {scalar, 0});
  TF_ImportGraphDefOptionsAddInputMapping(opts, "fake", 0, {scalar, 0});

  tensorflow::GraphDef graph_def_proto;
  ASSERT_TRUE(tensorflow::ParseProtoUnlimited(&graph_def_proto, graph_def->data,
                                              graph_def->length));