StandardEnv = "MINIO_STORAGE_CLASS_STANDARD"
	// Optimize storage class environment variable
	OptimizeEnv = "MINIO_STORAGE_CLASS_OPTIMIZE"
	// Inline block indicates the size of the shard
	// that is considered for inlining, remember this
	// shard value is the value per drive shard it
	// will vary based on the parity that is configured
	// for the STANDARD storage_class.
	// inlining means data and metadata are written

				// Reading first time on this disk, hence the buffer needs to be allocated.
				// Subsequent reads will reuse this buffer.
				p.buf[bufIdx] = make([]byte, p.shardSize)
			}
			// For the last shard, the shardsize might be less than previous shard sizes.
			// Hence the following statement ensures that the buffer size is reset to the right size.
			p.buf[bufIdx] = p.buf[bufIdx][:p.shardSize]
			n, err := rr.ReadAt(p.buf[bufIdx], p.offset)

							verID = fmt.Sprintf("null/%08x", header.Signature)
							v0 = verID
						}
						idx := ei.V2Obj.EcIndex
						filemap[file][verID] = fmt.Sprintf("%s/shard-%02d-of-%02d", verID, idx, ei.V2Obj.EcN+ei.V2Obj.EcM)
						filemap[file][verID+".json"] = buf.String()
					}
					return nil
				})
				if err != nil {
					return nil, err
				}

	// 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.
	//

	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])

page.searchlog.max.fetch.size=10000

page.searchlist.track.total.hits=true

# search page
paging.search.page.start=0
paging.search.page.size=10
paging.search.page.max.size=100

searchlog.agg.shard.size=-1
searchlog.request.headers=

thumbnail.html.image.min.width=100
thumbnail.html.image.min.height=100
thumbnail.html.image.max.aspect.ratio=3.0
thumbnail.html.image.thumbnail.width=100

    /** The key of the configuration. e.g. 100 */
    String PAGING_SEARCH_PAGE_MAX_SIZE = "paging.search.page.max.size";

    /** The key of the configuration. e.g. -1 */
    String SEARCHLOG_AGG_SHARD_SIZE = "searchlog.agg.shard.size";

    /** The key of the configuration. e.g.  */
    String SEARCHLOG_REQUEST_HEADERS = "searchlog.request.headers";

    /** The key of the configuration. e.g. 100 */

							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

      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
      `tf.train.experimental.ShardingCallback`s.

* `tf.train.CheckpointOptions`

purpose with or without fee is hereby granted, provided that the above
copyright notice and this permission notice appear in all copies.

THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES