MOVM.DB	[R0-R4], 4(R1)     // ERROR "offset must be zero"
	MOVW	CPSR, FPSR         // ERROR "illegal combination"
	MOVW	FPSR, CPSR         // ERROR "illegal combination"
	MOVW	CPSR, errors(SB)   // ERROR "illegal combination"
	MOVW	errors(SB), CPSR   // ERROR "illegal combination"
	MOVW	FPSR, errors(SB)   // ERROR "illegal combination"
	MOVW	errors(SB), FPSR   // ERROR "illegal combination"

			},
			partial: func(entries metaCacheEntries, _ []error) {
				entry, ok := entries.resolve(&resolver)
				if !ok {
					// check if we can get one entry at least
					// proceed to heal nonetheless.
					entry, _ = entries.firstFound()
				}
				jt.Take()
				go healEntry(bucket, *entry)
			},
			finished: func(errs []error) {
				if countErrs(errs, nil) != len(errs) {

	if runtime.GOOS == "windows" {
		return
	}
	if color.IsTerminal() {
		ansiEscape("8")
	}
}

// logIgnoreError if true,the error will ignore.
func logIgnoreError(err error) bool {
	return err == nil || errors.Is(err, context.Canceled) || errors.Is(err, http.ErrServerClosed) || err.Error() == "drive not found"

        return False

    def _normalize_errors(errors: Sequence[Any]) -> List[Dict[str, Any]]:
        use_errors: List[Any] = []
        for error in errors:
            if isinstance(error, ErrorWrapper):
                new_errors = ValidationError(  # type: ignore[call-arg]
                    errors=[error], model=RequestErrorModel
                ).errors()
                use_errors.extend(new_errors)

	globalLocalDrivesMu.RUnlock()

	errs := make([]error, len(localDrives))
	infos := make([]DiskInfo, len(localDrives))
	for i, drive := range localDrives {
		infos[i], errs[i] = drive.DiskInfo(GlobalContext, DiskInfoOptions{})
	}
	infoMaps := make(map[string]madmin.DiskMetrics)
	for i := range infos {
		if infos[i].Metrics.TotalWaiting >= 1 && errors.Is(errs[i], errFaultyDisk) {

  if (!tensorflow::protobuf::TextFormat::ParseFromString(text_proto, &gdef)) {
    status->status = tensorflow::errors::Internal(
        "Invalid text proto for GraphDef: ", text_proto);
    return {};
  }
  const auto& fdef_lib = gdef.library();
  if (fdef_lib.gradient_size() > 0) {
    status->status = tensorflow::errors::Internal(
        "GradientDef is not supported in reading Dataset related functions: ",
        text_proto);

			return nil, fmt.Errorf("Byte position ('%s') must not have a sign", offsetBeginString)
		} else if offsetBegin, err = strconv.ParseInt(offsetBeginString, 10, 64); err != nil {
			return nil, fmt.Errorf("'%s' does not have a valid first byte position value", rangeString)
		} else if offsetBegin < 0 {
			return nil, fmt.Errorf("First byte position is negative ('%d')", offsetBegin)
		}
	}

	if info.Free > info.Total {
		return info, fmt.Errorf("detected free space (%d) > total drive space (%d), fs corruption at (%s). please run 'fsck'", info.Free, info.Total, path)
	}
	info.Used = info.Total - info.Free
	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")

	ErrMalformedBucketObjectConfig = errors.New("invalid bucket object lock config")
	// ErrInvalidRetentionDate - indicates that retention date needs to be in ISO 8601 format
	ErrInvalidRetentionDate = errors.New("date must be provided in ISO 8601 format")
	// ErrPastObjectLockRetainDate - indicates that retention date must be in the future
	ErrPastObjectLockRetainDate = errors.New("the retain until date must be in the future")

	// Validate the authentication result here so that failures will be audit-logged.
	if apiErrCode != ErrNone {
		stsErr := apiToSTSError(apiErrCode)
		// Borrow the description error from the API error code
		writeSTSErrorResponse(ctx, w, stsErr, errors.New(errorCodes[apiErrCode].Description))
		return
	}

	if err := claims.populateSessionPolicy(r.Form); err != nil {
		writeSTSErrorResponse(ctx, w, ErrSTSInvalidParameterValue, err)