}

	if bytes.Equal(buf[4:8], []byte("1   ")) {
		// Set as 1,0.
		major, minor = 1, 0
	} else {
		major, minor = binary.LittleEndian.Uint16(buf[4:6]), binary.LittleEndian.Uint16(buf[6:8])
	}
	if major > xlVersionMajor {
		return buf[8:], major, minor, fmt.Errorf("xlMeta: unknown major version %d found", major)
	}

	return buf[8:], major, minor, nil
}

func isXL2V1Format(buf []byte) bool {

	info.Files = uint64(lpTotalNumberOfClusters)
	info.Ffree = uint64(lpNumberOfFreeClusters)

	return info, nil
}

// GetDriveStats returns IO stats of the drive by its major:minor
func GetDriveStats(major, minor uint32) (iostats IOStats, err error) {
	return IOStats{}, errors.New("operation unsupported")

	cli, err := ctx.CLIClientWithRevision(revision)
	if err != nil {
		return nil, err
	}
	major, minors, ok := strings.Cut(version, ".")
	if !ok {
		return nil, fmt.Errorf("invalid version %v, expected format like '1.0'", version)
	}
	if major != "1" {
		return nil, fmt.Errorf("expected major version 1, got %v", version)
	}
	minor, err := strconv.Atoi(minors)
	if err != nil {

dill == 0.3.7
astor == 0.7.1
typing_extensions == 4.8.0
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0

# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch
keras-nightly ~= 3.0.0.dev
tb-nightly ~= 2.17.0.a

# Test dependencies

    applyTestDefaults(
        model,
        this,
        ":smoke-test:$task",
        timeout = 120,
        extraParameters = buildScanTag("SmokeTests") +
            " -PtestJavaVersion=${testJava.version.major}" +
            " -PtestJavaVendor=${testJava.vendor.name}"
    )

          echo "PyPI project name:" $tf_project_name
          CI_DOCKER_BUILD_EXTRA_PARAMS="--build-arg py_major_minor_version=${{ matrix.pyver }} --build-arg is_nightly=${is_nightly} --build-arg tf_project_name=${tf_project_name}" \

    }
}

fun performanceTestCommandLine(
    task: String,
    baselines: String,
    extraParameters: String = "",
    os: Os = Os.LINUX,
    testJavaVersion: String = os.perfTestJavaVersion.major.toString(),
    testJavaVendor: String = os.perfTestJavaVendor.toString(),
) = listOf(
    "$task${if (extraParameters.isEmpty()) "" else " $extraParameters"}",
    "-PperformanceBaselines=$baselines",

        timeout = 60,
        extraParameters = buildScanTag(docsTestType.docsTestName) +
            " -PenableConfigurationCacheForDocsTests=${docsTestType.ccEnabled}" +
            " -PtestJavaVersion=${testJava.version.major}" +
            " -PtestJavaVendor=${testJava.vendor.name}" +
            " -P${testSplitType.name.lowercase()}TestClasses=true",
        preSteps = prepareTestClassesStep(os, testSplitType, testClasses)
    )

#include <vector>

#include "tensorflow/core/platform/types.h"

struct TFE_TensorDebugInfo {
  explicit TFE_TensorDebugInfo(const std::vector<int64_t>& dims)
      : dev_dims(dims) {}

  // Fully-padded, minor-to-major.
  std::vector<int64_t> dev_dims;
};

    ianaSuites = ianaSuites,
  )
}

fun conscrypt(ianaSuites: IanaSuites): Client {
  val version = Conscrypt.version()
  return systemDefault(
    name = "Conscrypt",
    version = "${version.major()}.${version.minor()}",
    ianaSuites = ianaSuites,
  )
}

fun systemDefault(
  name: String,
  version: String,
  ianaSuites: IanaSuites,
): Client {