byteorder.BEUint32(src[4:8]) s2 := byteorder.BEUint32(src[8:12]) s3 := byteorder.BEUint32(src[12:16]) // First round just XORs input with key. s0 ^= xk[0] s1 ^= xk[1] s2 ^= xk[2] s3 ^= xk[3] // Middle rounds shuffle using tables. k := 4 var t0, t1, t2, t3 uint32 for r := 0; r < c.rounds-1; r++ { t0 = xk[k+0] ^ te0[uint8(s0>>24)] ^ te1[uint8(s1>>16)] ^ te2[uint8(s2>>8)] ^ te3[uint8(s3)] t1 = xk[k+1] ^ te0[uint8(s1>>24)] ^ te1[uint8(s2>>16)] ^ te2[uint8(s3>>8)] ^ te3[uint8(s0)] t2 = xk[k+2] ^ te0[uint8(s2>>24)]...

§EcIndex ¦EcDistœ ¨CSumAlgo ¨PartNums‘ ©PartETagsÀ©PartSizes‘|ªPartASizes‘|¤Size|¥MTimeÓ É ¥— H§MetaSys ¼x-minio-internal-inline-dataÄ true§MetaUsr‚¬content-typeªtext/plain¤etagÙ cfc3c55bdcdef4cf23f6¡v Î /.™ ¤nullÄ2SI r˜b Dß¹šq Û °NÔ»3`;KË Œ° ùö‰ ://s3.amazonaws.co multisitea/data/disterasure/xl11/.minio.sys/._format.json multisitea/data/disterasure/xl11/.minio.sys/format.json {"version":"1","format":"xl","id":"88d75d7b-222c-4255-82c2-f047b5d68b9d","xl":{"version":"3","this":"954b6edf-3e12-4f4b-8...

		}
		if testCase.copySourceRange != "" {
			if testCase.copySourceRange == "empty" {
				req.Header.Set("X-Amz-Copy-Source-Range", "") // specifically test for S3 errors in this scenario.
			} else {
				req.Header.Set("X-Amz-Copy-Source-Range", testCase.copySourceRange)
			}
		}

			return psi, errSRPeerResp(fmt.Errorf("unable to fetch server info for %s: %w", v.Name, err))
		}

		s3Client, err := getS3Client(v)
		if err != nil {
			return psi, errSRPeerResp(fmt.Errorf("unable to create s3 client for %s: %w", v.Name, err))
		}

		buckets, err := s3Client.ListBuckets(ctx)
		if err != nil {
			return psi, errSRPeerResp(fmt.Errorf("unable to list buckets for %s: %v", v.Name, err))
		}

        unregistered kernels error.

*   Modular File System Migration:

    *   Support for S3 and HDFS file systems has been migrated to a modular file
        systems based approach and is now available in
        https://github.com/tensorflow/io. The `tensorflow-io` python package
        should be installed for S3 and HDFS support with tensorflow.

## Major Features and Improvements