}

	b.Run("file-to-tcp", func(b *testing.B) { benchmarkSendFile(b, "tcp") })
	b.Run("file-to-unix", func(b *testing.B) { benchmarkSendFile(b, "unix") })
}

func benchmarkSendFile(b *testing.B, proto string) {
	for i := 0; i <= 10; i++ {
		size := 1 << (i + 10)
		bench := sendFileBench{
			proto:     proto,
			chunkSize: size,
		}
		b.Run(strconv.Itoa(size), bench.benchSendFile)
	}

    /* metric description */
    "Track success/failure of MLIR pass runs when fallback used",
    /* metric field */ "status");

auto* mlir_graph_optimization_pass_fallback_count = monitoring::Counter<1>::New(
    /* metric name */
    "/tensorflow/core/mlir_graph_optimization_pass_fallback_count",
    /* metric description */
    "Track success/failure of MLIR graph optimization pass runs when fallback "
    "used",
    /* metric field */ "status");

        val testTask = createTestTask(taskName, executer, sourceSet, testType) {}
        if (executer == defaultExecuter) {
            // The test task with the default executer runs with 'check'
            tasks.named("check").configure { dependsOn(testTask) }
        }
    }
    // Create a variant of the test suite to force realization of component metadata

type TBRun[T any] interface {
	testing.TB
	Run(string, func(T)) bool
}

// run runs a client/server test in a variety of test configurations.
//
// Tests execute in HTTP/1.1 and HTTP/2 modes by default.
// To run in a different set of configurations, pass a []testMode option.
//
// Tests call t.Parallel() by default.
// To disable parallel execution, pass the testNotParallel option.

        freeze_name = "freeze_" + name
        freeze_file = freeze_name + ".pb"

        # First run tfcompile to generate the list of out_nodes.
        #
        # Here and below, we set CUDA_VISIBLE_DEVICES='' to prevent the code we
        # launch from using any GPUs which might be present.  This is important
        # because builds may run concurrently with tests, and tests need to be

```Dockerfile
FROM python:3.9

WORKDIR /code

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

RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

COPY ./app /code/app

CMD ["fastapi", "run", "app/main.py", "--port", "80"]

# If running behind a proxy like Nginx or Traefik add --proxy-headers
# CMD ["fastapi", "run", "app/main.py", "--port", "80", "--proxy-headers"]
```

</details>

## What is a Container

			ContainerID: int(nobody),
			HostID:      gid,
			Size:        int(1),
		}}

		// Set credentials to run as user and group nobody.
		cmd.SysProcAttr.Credential = &syscall.Credential{
			Uid: nobody,
			Gid: nobody,
		}
	}
	if err := cmd.Run(); err != nil {
		if testenv.SyscallIsNotSupported(err) {
			t.Skipf("skipping: %v: %v", cmd, err)
		}
		t.Fatal(err.Error())
	}

//		log.Fatal(err)
//	}
//	use(path)
//
// and
//
//	cmd := exec.Command("prog")
//	if err := cmd.Run(); err != nil {
//		log.Fatal(err)
//	}
//
// These will not find and run ./prog or .\prog.exe,
// no matter how the current path is configured.
//
// Code that always wants to run a program from the current directory
// can be rewritten to say "./prog" instead of "prog".
//

			// Assert
			if len(rcInstance.volumesFailedReconstruction) != 0 {
				t.Errorf("Expected volumesFailedReconstruction to be empty, got %+v", rcInstance.volumesFailedReconstruction)
			}
			// Unmount runs in a go routine, wait for its finish
			var lastErr error
			err = retryWithExponentialBackOff(testOperationBackOffDuration, func() (bool, error) {
				if err := verifyTearDownCalls(fakePlugin, tc.expectedUnmounts); err != nil {

}()

// Cleans up tmp directory of the local disk.
func bgFormatErasureCleanupTmp(diskPath string) {
	// Need to move temporary objects left behind from previous run of minio
	// server to a unique directory under `minioMetaTmpBucket-old` to clean
	// up `minioMetaTmpBucket` for the current run.
	//
	// /disk1/.minio.sys/tmp-old/
	//  |__ 33a58b40-aecc-4c9f-a22f-ff17bfa33b62
	//  |__ e870a2c1-d09c-450c-a69c-6eaa54a89b3e
	//