url =
      server.url(
        """/api/login?
      |user=test_user&
      |authentication=basic&
      |password=confidential_password&
      |authentication=rather simple login method
        """.trimMargin(),
      )
    val networkInterceptor =
      HttpLoggingInterceptor(networkLogs).setLevel(
        Level.BASIC,
      )

  // serving this Ingress resource, by a transitive connection
  // (controller -> IngressClass -> Ingress resource). Although the
  // `kubernetes.io/ingress.class` annotation (simple constant name) was never
  // formally defined, it was widely supported by Ingress controllers to create
  // a direct binding between Ingress controller and Ingress resources. Newly

	var podName, podNamespace string

	endpointConfigCmd := &cobra.Command{
		Use: "eds [<type>/]<name>[.<namespace>]",
		// Currently, we have an "endpoints" and "eds" command. While for simple use cases these are nearly identical, they give
		// pretty different outputs for the full JSON output. This makes it a useful command for developers, but may be overwhelming
		// for basic usage. For now, hide to avoid confusion.

여러분은 자동으로 생성된 인터랙티브 API(<a href="https://github.com/swagger-api/swagger-ui" class="external-link" target="_blank">Swagger UI</a>에서 제공된)를 볼 수 있습니다:

![Swagger UI](https://fastapi.tiangolo.com/img/index/index-01-swagger-ui-simple.png)

## 대안 API 문서

		p.errorf("TEXT %q: ABIInternal requires NOSPLIT", name)
	}

	// Next operand is the frame and arg size.
	// Bizarre syntax: $frameSize-argSize is two words, not subtraction.
	// Both frameSize and argSize must be simple integers; only frameSize
	// can be negative.
	// The "-argSize" may be missing; if so, set it to objabi.ArgsSizeUnknown.
	// Parse left to right.
	op := operands[next]
	if len(op) < 2 || op[0].ScanToken != '$' {

        * [Build simple API service with Python FastAPI — Part 1](https://dev.to/cuongld2/build-simple-api-service-with-python-fastapi-part-1-581o) by [cuongld2](https://dev.to/cuongld2).

But you can also exploit the benefits of parallelism and multiprocessing (having multiple processes running in parallel) for **CPU bound** workloads like those in Machine Learning systems.

That, plus the simple fact that Python is the main language for **Data Science**, Machine Learning and especially Deep Learning, make FastAPI a very good match for Data Science / Machine Learning web APIs and applications (among many others).

}

// Set server_def on the context, possibly updating it.
// TODO(b/291142876) Simplify TFE_ContextSetServerDefWithTimeoutAndRetries and
// TFE_ContextUpdateServerDefWithTimeout to be simple wrappers around the same
// C++ function.
// Retries are used for CreateContext calls, which is used in
// ParameterServerStrategy initialization to be robust to worker preemption.

   * between elements will be made, but the order in which those pairs of elements are passed to the
   * consumer is <i>not</i> defined.
   *
   * <p>Note that many usages of this method can be replaced with simpler calls to {@link #zip}.
   * This method behaves equivalently to {@linkplain #zip zipping} the stream elements into
   * temporary pair objects and then using {@link Stream#forEach} on that stream.
   *

</p>

<p>
Don't be clever.
</p>

<h3 id="overview">Informal Overview</h3>

<p>
Go approaches its memory model in much the same way as the rest of the language,
aiming to keep the semantics simple, understandable, and useful.
This section gives a general overview of the approach and should suffice for most programmers.
The memory model is specified more formally in the next section.
</p>

<p>