/** The key of the message: Username or Password is not correct. */
    public static final String ERRORS_login_error = "{errors.login_error}";

    /** The key of the message: Failed to process SSO login. */
    public static final String ERRORS_sso_login_error = "{errors.sso_login_error}";

    /** The key of the message: Could not find {0}. */

type concErr struct {
	errMap     map[string]error
	summaryErr error
}

func (c concErr) Error() string {
	if c.summaryErr != nil {
		return c.summaryErr.Error()
	}
	return "<nil>"
}

func (c concErr) Unwrap() error {
	return c.summaryErr
}

func (c *SiteReplicationSys) toErrorFromErrMap(errMap map[string]error, actionName string) error {
	if len(errMap) == 0 {
		return nil

          "exemplar": true,
          "expr": "sum by (bucket,api) (increase(minio_bucket_requests_4xx_errors_total{job=\"$scrape_jobs\"}[$__rate_interval]))",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{bucket,api}}",
          "refId": "A"
        }
      ],
      "title": "S3 API Request 4xx Error Rate",
      "type": "timeseries"
    },
    {
      "datasource": {

        if is_coroutine:
            value, errors_ = field.validate(response_content, {}, loc=("response",))
        else:
            value, errors_ = await run_in_threadpool(
                field.validate, response_content, {}, loc=("response",)
            )
        if isinstance(errors_, list):
            errors.extend(errors_)
        elif errors_:
            errors.append(errors_)
        if errors:

		Subsystem: driveSubsystem,
		Name:      "errors_timeout",
		Help:      "Total number of drive timeout errors since server start",
		Type:      counterMetric,
	}
}

func getNodeDriveIOErrorsMD() MetricDescription {
	return MetricDescription{
		Namespace: nodeMetricNamespace,
		Subsystem: driveSubsystem,
		Name:      "errors_ioerror",
		Help:      "Total number of drive I/O errors since server start",

using tensorflow::string;
using tensorflow::Tensor;
using tensorflow::TensorId;
using tensorflow::TensorShapeProto;
using tensorflow::VersionDef;
using tensorflow::errors::FailedPrecondition;
using tensorflow::errors::InvalidArgument;
using tensorflow::errors::OutOfRange;
using tensorflow::gtl::ArraySlice;
using tensorflow::strings::StrCat;

extern "C" {

		default:
			return re, fmt.Errorf("replication mrf: unknown format: %d", binary.LittleEndian.Uint16(data[0:2]))
		}
		switch binary.LittleEndian.Uint16(data[2:4]) {
		case mrfMetaVersion:
		default:
			return re, fmt.Errorf("replication mrf: unknown version: %d", binary.LittleEndian.Uint16(data[2:4]))
		}

		// OK, parse data.
		// ignore any parsing errors, we do not care this file is generated again anyways.

github.com/globalsign/mgo v0.0.0-20181015135952-eeefdecb41b8/go.mod h1:xkRDCp4j0OGD1HRkm4kmhM+pmpv3AKq5SU7GMg4oO/Q=
github.com/go-errors/errors v1.5.1 h1:ZwEMSLRCapFLflTpT7NKaAc7ukJ8ZPEjzlxt8rPN8bk=
github.com/go-errors/errors v1.5.1/go.mod h1:sIVyrIiJhuEF+Pj9Ebtd6P/rEYROXFi3BopGUQ5a5Og=
github.com/go-jose/go-jose/v3 v3.0.3 h1:fFKWeig/irsp7XD2zBxvnmA/XaRWp5V3CBsZXJF7G7k=

		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(ErrBadRequest), r.URL)
		return
	}

	opts, err := getOpts(ctx, r, bucket, object)
	if err != nil {
		writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
		return
	}

	// Check for auth type to return S3 compatible error.
	// type to return the correct error (NoSuchKey vs AccessDenied)

    }
  }

  public void testTransformAsync_asyncFunction_error() throws InterruptedException {
    final Error error = new Error("deliberate");
    AsyncFunction<String, Integer> function =
        new AsyncFunction<String, Integer>() {
          @Override
          public ListenableFuture<Integer> apply(String input) {
            throw error;
          }
        };