//   def main(args: Array[String]): Unit = {
		//     val spark:SparkSession = SparkSession.builder()
		//       .appName("SparkByExample")
		//       .master("local[1]").getOrCreate()
		//
		//     spark.sparkContext.setLogLevel("ERROR")
		//     spark.sparkContext.hadoopConfiguration.set("fs.s3a.endpoint", "http://minio-lb:9000")
		//     spark.sparkContext.hadoopConfiguration.set("fs.s3a.path.style.access", "true")

		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrOverlappingConfigs: {
		Code:           "InvalidArgument",
		Description:    "Configurations overlap. Configurations on the same bucket cannot share a common event type.",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrUnsupportedNotification: {
		Code:           "UnsupportedNotification",

							return errVolumeNotFound
						}
						return verr
					}
				}
			}
			return osErrToFileErr(err)
		}
		if st.Mode().IsDir() {
			return errFileNotFound
		}
		// Check if shard is truncated.
		if st.Size() < fi.Erasure.ShardFileSize(part.Size) {
			return errFileCorrupt
		}
	}

	return nil
}

// deleteFile deletes a file or a directory if its empty unless recursive

	shardSize := int64(1024 * 1024)
	shard := make([]byte, shardSize)
	w := newStreamingBitrotWriter(storage, "", volName, fileName, size, algo, shardSize)
	reader := bytes.NewReader(data)
	for {
		// Using io.Copy instead of this loop will not work for us as io.Copy
		// will use bytes.Reader.WriteTo() which will not do shardSize'ed writes
		// causing error.
		n, err := reader.Read(shard)
		w.Write(shard[:n])

	}

	// We did not find it, add it.
	return x.addVersion(ventry)
}

func (x *xlMetaV2) SharedDataDirCount(versionID [16]byte, dataDir [16]byte) int {
	// v2 object is inlined, if it is skip dataDir share check.
	if x.data.entries() > 0 && x.data.find(uuid.UUID(versionID).String()) != nil {
		return 0
	}
	var sameDataDirCount int
	var decoded xlMetaDataDirDecoder
	for _, version := range x.versions {