}

	configuredPartSize := minPartSize
	// Use floats for part size for all calculations to avoid
	// overflows during float64 to int64 conversions.
	partSizeFlt := float64(objectSize / maxPartsCount)
	partSizeFlt = math.Ceil(partSizeFlt/float64(configuredPartSize)) * float64(configuredPartSize)

	// Part size.
	partSize = int64(partSizeFlt)
	if partSize == 0 {
		return minPartSize, nil
	}
	return partSize, nil
}

// of crashing.
func ceilFrac(numerator, denominator int64) (ceil int64) {
	if denominator == 0 {
		// do nothing on invalid input
		return
	}
	// Make denominator positive
	if denominator < 0 {
		numerator = -numerator
		denominator = -denominator
	}
	ceil = numerator / denominator
	if numerator > 0 && numerator%denominator != 0 {
		ceil++
	}
	return
}

	}

	// Pass in relative days from current time, to additionally
	// to verify "object-lock-remaining-retention-days" policy if any.
	days := int(math.Ceil(math.Abs(objRetention.RetainUntilDate.Sub(t).Hours()) / 24))

	ret := objectlock.GetObjectRetentionMeta(oi.UserDefined)
	if ret.Mode.Valid() {
		// Retention has expired you may change whatever you like.

  // the assured concurrency value (ACV) --- the number of requests
  // that may be executing at a time --- for each such priority
  // level:
  //
  //             ACV(l) = ceil( SCL * ACS(l) / ( sum[priority levels k] ACS(k) ) )
  //
  // bigger numbers of ACS mean more reserved concurrent requests (at the
  // expense of every other PL).
  // This field has a default value of 30.
  // +optional

  // the assured concurrency value (ACV) --- the number of requests
  // that may be executing at a time --- for each such priority
  // level:
  //
  //             ACV(l) = ceil( SCL * ACS(l) / ( sum[priority levels k] ACS(k) ) )
  //
  // bigger numbers of ACS mean more reserved concurrent requests (at the
  // expense of every other PL).
  // This field has a default value of 30.
  // +optional

  // the assured concurrency value (ACV) --- the number of requests
  // that may be executing at a time --- for each such priority
  // level:
  //
  //             ACV(l) = ceil( SCL * ACS(l) / ( sum[priority levels k] ACS(k) ) )
  //
  // bigger numbers of ACS mean more reserved concurrent requests (at the
  // expense of every other PL).
  // This field has a default value of 30.
  // +optional

  // borrowing seats from this level.
  // The server's concurrency limit (ServerCL) is divided among the
  // Limited priority levels in proportion to their NCS values:
  //
  // NominalCL(i)  = ceil( ServerCL * NCS(i) / sum_ncs )
  // sum_ncs = sum[limited priority level k] NCS(k)
  //
  // Bigger numbers mean a larger nominal concurrency limit,
  // at the expense of every other Limited priority level.

            roundFloorAsDouble = roundArbitrarily;
            roundFloor = roundArbitrarilyAsLong;
            roundCeilingAsDouble = Math.nextUp(roundArbitrarily);
            roundCeiling = (long) Math.ceil(roundCeilingAsDouble);
          } else {
            roundCeilingAsDouble = roundArbitrarily;
            roundCeiling = roundArbitrarilyAsLong;
            roundFloorAsDouble = DoubleUtils.nextDown(roundArbitrarily);

    Und viele Teams verwenden ausschließlich `PUT`, selbst für nur Teil-Aktualisierungen.

    Es steht Ihnen **frei**, das zu verwenden, was Sie möchten, **FastAPI** legt Ihnen keine Einschränkungen auf.

    Aber dieser Leitfaden zeigt Ihnen mehr oder weniger, wie die beiden normalerweise verwendet werden.

### Pydantics `exclude_unset`-Parameter verwenden

* **Starlette**:
    * Wird nach Uvicorn die nächstbeste Performanz erbringen. Tatsächlich nutzt Starlette intern Uvicorn. Daher kann es wahrscheinlich nur „langsamer“ als Uvicorn sein, weil mehr Code ausgeführt wird.
    * Aber es bietet Ihnen die Tools zum Erstellen einfacher Webanwendungen, mit Routing basierend auf Pfaden, usw.