if (op_) {
      return errors::FailedPrecondition("Reset called on already built op.");
    }
    if (raw_device_name) {
      device_name_ = raw_device_name;
    }
    op_type_ = op;
    return absl::OkStatus();
  }
  absl::Status SetOpName(const char* const op_name) override {
    if (op_) {
      return errors::FailedPrecondition(
          "SetOpName called on already built op.");

    /**
     * Determine if an error is recoverable
     *
     * @param error the error to check
     * @return true if error might be recoverable, false otherwise
     */
    private boolean isRecoverableError(Exception error) {
        // Timeout errors are often recoverable
        if (error instanceof SocketTimeoutException) {
            return true;
        }

        // Some socket errors might be recoverable

	if err == nil {
		return nil
	}

	bucket := ""
	object := ""
	if len(params) >= 1 {
		bucket = params[0]
	}
	if len(params) == 2 {
		object = params[1]
	}

	azureErr, ok := err.(*azcore.ResponseError)
	if !ok {
		// We don't interpret non Azure errors. As azure errors will
		// have StatusCode to help to convert to object errors.
		return err
	}

    val message: String,
    val details: List<String>
)


internal
data class RichReport(
    val errors: List<ReportMessage>,
    val warnings: List<ReportMessage>,
    val information: List<ReportMessage>,
    val accepted: List<ReportMessage>
) {

    val isEmpty: Boolean
        get() = errors.isEmpty() && warnings.isEmpty() && information.isEmpty()

    fun toText() =

    bool clear_existing_contexts) {
#if defined(IS_MOBILE_PLATFORM)
  status->status = tensorflow::errors::Unimplemented(
      "TFE_ContextSetServerDef not supported on mobile");
#else   // !defined(IS_MOBILE_PLATFORM)
  tensorflow::ServerDef server_def;
  if (!server_def.ParseFromArray(proto, proto_len)) {
    status->status = tensorflow::errors::InvalidArgument(
        "Invalid tensorflow.ServerDef protocol buffer");
    return;
  }

  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);

                warnings << "Return nullability changed from nullable to null-unmarked"
            }
        }

        if (!errors.isEmpty()) {
            def changes = errors + warnings
            return acceptOrReject(member, changes, Violation.error(member, changes.join(" ")))
        }
        if (!warnings.isEmpty()) {
            return Violation.warning(member, warnings.join(" "))
        }

	return reduceQuorumErrs(ctx, errs, ignoredErrs, readQuorum, errErasureReadQuorum)
}

// reduceWriteQuorumErrs behaves like reduceErrs but only for returning
// values of maximally occurring errors validated against writeQuorum.
func reduceWriteQuorumErrs(ctx context.Context, errs []error, ignoredErrs []error, writeQuorum int) (maxErr error) {

	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"

		t.Errorf("failed to query, got error %v, account: %#v", err, user4.Account)
	}

	if err := DB.Preload(clause.Associations, func(tx *gorm.DB) *gorm.DB {
		return tx.Unscoped()
	}).Take(&user4, "id = ?", users3[0].ID).Error; err != nil || user4.Account.ID == 0 {
		t.Errorf("failed to query, got error %v, account: %#v", err, user4.Account)
	}
}