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.

import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.RangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.sampler.SamplerAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.SignificantTermsAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.TermsAggregationBuilder;

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

  // reason (Ready transitions to false, is evicted, or is drained) an updated
  // pod is immediatedly created on that node without considering surge limits.
  // Allowing surge implies the possibility that the resources consumed by the
  // daemonset on any given node can double if the readiness check fails, and
  // so resource intensive daemonsets should take into account that they may

    you may be facing one of the following issues:

    *   **Checkpoint loading failure.** The new optimizer handles optimizer
        state differently from the old optimizer, which simplies the logic of
        checkpoint saving/loading, but at the cost of breaking checkpoint
        backward compatibility in some cases. If you want to keep using an old
        checkpoint, please change your optimizer to

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

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

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.
   *

        setSystemProperty(Constants.LDAP_SECURITY_AUTHENTICATION, value);
    }

    default String getLdapSecurityAuthentication() {
        return getSystemProperty(Constants.LDAP_SECURITY_AUTHENTICATION, "simple");
    }

    default void setLdapProviderUrl(final String value) {
        setSystemProperty(Constants.LDAP_PROVIDER_URL, value);
    }

    default String getLdapProviderUrl() {