// dynamic sleeper to avoid thundering herd for trash folder expunge routine
	deleteCleanupSleeper = newDynamicSleeper(5, 25*time.Millisecond, false)

	// dynamic sleeper for multipart expiration routine

					Code:      apiErr.Code,
					Message:   apiErr.Description,
					Key:       object.ObjectName,
					VersionID: object.VersionID,
				}
				continue
			}
		}

		// Avoid duplicate objects, we use map to filter them out.
		if _, ok := objectsToDelete[object]; !ok {
			objectsToDelete[object] = index
		}
	}

	toNames := func(input map[ObjectToDelete]int) (output []ObjectToDelete) {

					ObjectOptions{
						DeletePrefix:       true, // use prefix delete to delete all versions at once.
						DeletePrefixObject: true, // use prefix delete on exact object (this is an optimization to avoid fan-out calls)
						NoAuditLog:         true,
					},
				)
				stopFn(0, err)
				auditLogDecom(ctx, "DecomDeleteObject", bi.Name, entry.name, "", err)
				if err != nil {
					decomLogIf(ctx, err)
				}

	if atEOF {
		return len(data), dropCR(data), nil
	}
	// Request more data.
	return 0, nil, nil
}

// isSpace reports whether the character is a Unicode white space character.
// We avoid dependency on the unicode package, but check validity of the implementation
// in the tests.
func isSpace(r rune) bool {
	if r <= '\u00FF' {
		// Obvious ASCII ones: \t through \r plus space. Plus two Latin-1 oddballs.

		idx      = strings.IndexByte(str, ',')
		settings = ParseTagSetting(str, ",")
	)

	// optimize match english letters and midline
	// The following code is basically called in for.
	// In order to avoid the performance problems caused by repeated compilation of regular expressions,
	// it only needs to be done once outside, so optimization is done here.
	if idx != -1 && regEnLetterAndMidline.MatchString(str[0:idx]) {

		Status:      fi.TransitionStatus,
		FreeVersion: fi.TierFreeVersion(),
		Tier:        fi.TransitionTier,
	}

	// etag/md5Sum has already been extracted. We need to
	// remove to avoid it from appearing as part of
	// response headers. e.g, X-Minio-* or X-Amz-*.
	// Tags have also been extracted, we remove that as well.
	objInfo.UserDefined = cleanMetadata(fi.Metadata)

	// All the parts per object.

    (`tensorflow/tensorflow:devel` and `tensorflow/tensorflow:devel-gpu` are no
    longer supported for development). Use TF SIG Build Dockerfiles in
    development to avoid installing the packages directly on your system (in
    which case remember to change the directory from `/root` to `/tensorflow`
    once you get into the running container so `bazel` can find the `tensorflow`
    workspace).

And any model class that doesn't have `table=True` is a **data model**, these ones are actually just Pydantic models (with a couple of small extra features). 🤓

With SQLModel, we can use **inheritance** to **avoid duplicating** all the fields in all the cases.

#### `HeroBase` - the base class { #herobase-the-base-class }

Let's start with a `HeroBase` model that has all the **fields that are shared** by all the models:

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But if you are certain that the content that you are returning is **serializable with JSON**, you can pass it directly to the response class and avoid the extra overhead that FastAPI would have by passing your return content through the `jsonable_encoder` before passing it to the response class.

{* ../../docs_src/custom_response/tutorial001b_py39.py hl[2,7] *}

/// info