ignoredPaths = append(ignoredPaths, lp)
			}
		}
		return tmpPaths
	}()

	scheme := "http"
	if globalIsTLS {
		scheme = "https"
	}

	u := &url.URL{
		Scheme: scheme,
		Host:   globalLocalNodeName,
	}

	perfs, err := perf.Run(ctx, paths...)
	return madmin.DriveSpeedTestResult{
		Endpoint: u.String(),
		Version:  Version,
		DrivePerf: func() (results []madmin.DrivePerf) {

Якщо ви встановили ASGI-сервер вручну, зазвичай потрібно передати рядок імпорту в спеціальному форматі, щоб він імпортував ваш застосунок FastAPI:

<div class="termy">

```console
$ uvicorn main:app --host 0.0.0.0 --port 80

<span style="color: green;">INFO</span>:     Uvicorn running on http://0.0.0.0:80 (Press CTRL+C to quit)
```

</div>

/// note | Примітка

Команда `uvicorn main:app` означає:

### RBE
rbe_config = use_extension("@xla//third_party/extensions:rbe_config.bzl", "rbe_config_ext")
use_repo(rbe_config, "ml_build_config_platform")

register_execution_platforms("@local_config_platform//:host")

remote_execution_configure = use_extension("@xla//third_party/extensions:remote_execution_configure.bzl", "remote_execution_configure_ext")
use_repo(remote_execution_configure, "local_config_remote_execution")

    calls++

    if (exchange != null) {
      check(exchange.finder.routePlanner.sameHostAndPort(request.url)) {
        "network interceptor ${interceptors[index - 1]} must retain the same host and port"
      }
      check(calls == 1) {
        "network interceptor ${interceptors[index - 1]} must call proceed() exactly once"
      }
    }

    // Call the next interceptor in the chain.

///

## 서버 프로그램 실행하기 { #run-the-server-program }

ASGI 서버를 수동으로 설치했다면, 보통 FastAPI 애플리케이션을 임포트하기 위해 특별한 형식의 import string을 전달해야 합니다:

<div class="termy">

```console
$ uvicorn main:app --host 0.0.0.0 --port 80

<span style="color: green;">INFO</span>:     Uvicorn running on http://0.0.0.0:80 (Press CTRL+C to quit)
```

</div>

/// note | 참고

`uvicorn main:app` 명령은 다음을 가리킵니다:

            sb.append(LS);

            // If people want to deploy it
            sb.append(LS);
            sb.append(indentation);
            sb.append("Alternatively, if you host your own repository you can deploy the file there: ");
            sb.append(LS);
            sb.append(indentation);
            sb.append("    mvn deploy:deploy-file -DgroupId=");
            sb.append(groupId);

}

void ReplaceTaskInServerDef(tensorflow::ServerDef* server_def, int task_index,
                            const string& host, int port) {
  tensorflow::JobDef* job_def = server_def->mutable_cluster()->mutable_job(0);
  job_def->mutable_tasks()->at(task_index) = absl::StrCat(host, ":", port);
}

std::vector<std::string> ListDeviceNames(TFE_Context* ctx) {
  TF_Status* status = TF_NewStatus();

// by sending a naked HTTP request with liveness checks.
func isServerResolvable(endpoint Endpoint, timeout time.Duration) error {
	serverURL := &url.URL{
		Scheme: endpoint.Scheme,
		Host:   endpoint.Host,
		Path:   pathJoin(healthCheckPathPrefix, healthCheckLivenessPath),
	}

	httpClient := &http.Client{
		Transport: globalInternodeTransport,
	}

    @Test
    public void test_convertFuzzyQuery_withVariousFields() {
        QueryContext context = new QueryContext("test", false);
        String[] fields = { "title", "content", "url", "site", "host", "mimetype" };

        for (String field : fields) {
            Term term = new Term(field, "fuzzy");
            FuzzyQuery fuzzyQuery = new FuzzyQuery(term);

      # Set up which clang we should use as the cuda / host compiler.
      clang_cuda_compiler_path = set_clang_cuda_compiler_path(environ_cp)
      clang_version = retrieve_clang_version(clang_cuda_compiler_path)
      disable_clang_offsetof_extension(clang_version)
    else:
      # Set up which gcc nvcc should use as the host compiler
      # No need to set this on Windows
      if not is_windows():