valid := 0
									for shardIdx, shard := range splitFilled[:k] {
										shardConfig[shardIdx] = shard[offset]
										valid += int(shard[offset])
										if shard[offset] == 0 {
											shards[shardIdx] = shards[shardIdx][:0]
										} else {
											shards[shardIdx] = append(shards[shardIdx][:0], splitData[shardIdx][offset])
										}
									}

				fmt.Fprintf(os.Stderr, "%v: error on self-test [d:%d,p:%d]: want %#v, got %#v\n", algo, conf[0], conf[1], a, b)
				ok = false
				continue
			}
			// Delete first shard and reconstruct...
			first := encoded[0]
			encoded[0] = nil
			failOnErr(e.DecodeDataBlocks(encoded))
			if a, b := first, encoded[0]; !bytes.Equal(a, b) {

code is a mathematical algorithm to reconstruct missing or corrupted data. MinIO uses Reed-Solomon code to shard objects into variable data and parity blocks. For example, in a 12 drive setup, an object can be sharded to a variable number of data and parity blocks across all the drives - ranging from six data and six parity blocks to ten data and two parity blocks.

By default, MinIO shards the objects across N/2 data and N/2 parity drives. Though, you can use [storage classes](https://github...

	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])

	// To avoid these problems we must split the work at scale. With 1000 node
	// setup becoming a reality we must try to shard the work properly such as
	// pick 10 nodes that precisely can send those 100 requests the first node
	// in the 10 node shard would coordinate between other 9 shards to get the
	// rest of the `99*9` requests.
	//
	// This essentially splits the workload properly and also allows for network

			disks := er.getDisks()
			distribution := hashOrder(pathJoin(bucket, object), nDisks)
			shuffledDisks := shuffleDisks(disks, distribution)

			// remove last data shard
			err = removeAll(pathJoin(shuffledDisks[11].String(), bucket, object))
			if err != nil {
				t.Fatalf("Failed to delete a file - %v", err)
			}
			_, err = obj.HealObject(ctx, bucket, object, "", madmin.HealOpts{

      tensors will be split into shards when the saver writes the checkpoint
      shards to disk. `tf.train.experimental.ShardByTaskPolicy` is the default
      sharding behavior, but `tf.train.experimental.MaxShardSizePolicy` can be
      used to shard the checkpoint with a maximum shard file size. Users with
      advanced use cases can also write their own custom

                        .withCopyFileToContainer(MountableFile.forHostPath(tempDir.resolve("shared")), "/share/shared")
                        .withCommand("-u", USERNAME + ";" + PASSWORD, "-s", "public;/share/public;yes;no;yes;all;;all;all", "-s",
                                "shared;/share/shared;no;no;no;all;" + USERNAME + ";all;all", "-g", "log level = 1", "-g",

        SmbTreeConnection c1 = newConn();
        SmbTreeConnection c2 = newConn();
        SmbTreeImpl shared = mock(SmbTreeImpl.class);
        when(shared.acquire(false)).thenReturn(shared);

        setTree(c1, shared);
        setTree(c2, shared);
        assertTrue(c1.isSame(c2));

        SmbTreeImpl other = mock(SmbTreeImpl.class);
        when(other.acquire(false)).thenReturn(other);

    /**
     * Constructs a tree connect AndX request to establish a connection to a shared resource.
     *
     * @param ctx the CIFS context containing configuration
     * @param server the server data containing security information
     * @param path the UNC path to the shared resource
     * @param service the service type (e.g., "A:" for disk share, "LPT1:" for printer)
     * @param andx the next command in the AndX chain, or null
     */