}

	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 ceil
	}
	// Make denominator positive
	if denominator < 0 {
		numerator = -numerator
		denominator = -denominator
	}
	ceil = numerator / denominator
	if numerator > 0 && numerator%denominator != 0 {
		ceil++
	}
	return ceil
}

	b.ReportAllocs()
	// the actual benchmark for PutObjectPart starts here. Reset the benchmark timer.

	for i := 0; b.Loop(); i++ {
		// insert the object.
		totalPartsNR := int(math.Ceil(float64(objSize) / float64(partSize)))
		for j := range totalPartsNR {
			if j < totalPartsNR-1 {
				textPartData = textData[j*partSize : (j+1)*partSize-1]
			} else {
				textPartData = textData[j*partSize:]
			}

	}

	// 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.

    *   tf.optimizers => tf.keras.optimizers
    *   Add tf.keras.layers.AbstractRNNCell as the preferred implementation of
        RNN cell for TF v2. User can use it to implement RNN cell with custom
        behavior.
    *   Adding `clear_losses` API to be able to clear losses at the end of
        forward pass in a custom training loop in eager.

{ c := compress(a, bits) if c >= 1<<bits { t.Fatalf("compress(%d, %d) = %d >= 2^bits", a, bits, c) } got := decompress(c, bits) diff := min(a-got, got-a, a-got+q, got-a+q) ceil := q / (1 << bits) if diff > fieldElement(ceil) { t.Fatalf("decompress(compress(%d, %d), %d) = %d (diff %d, max diff %d)", a, bits, bits, got, diff, ceil) } } } } func CompressRat(x fieldElement, d uint8) uint16 { if x >= q { panic("x out of range") } if d <= 0 || d >= 12 { panic("d out of range") } precise := big.NewRat((1<<d)*int64(x),...

	golang.org/x/time v0.11.0
	google.golang.org/api v0.230.0
	gopkg.in/yaml.v2 v2.4.0
	gopkg.in/yaml.v3 v3.0.1
)

require (
	aead.dev/mem v0.2.0 // indirect
	aead.dev/minisign v0.3.0 // indirect
	cel.dev/expr v0.23.1 // indirect
	cloud.google.com/go v0.120.1 // indirect
	cloud.google.com/go/auth v0.16.0 // indirect
	cloud.google.com/go/auth/oauth2adapt v0.2.8 // indirect

{ c := compress(a, bits) if c >= 1<<bits { t.Fatalf("compress(%d, %d) = %d >= 2^bits", a, bits, c) } got := decompress(c, bits) diff := min(a-got, got-a, a-got+q, got-a+q) ceil := q / (1 << bits) if diff > fieldElement(ceil) { t.Fatalf("decompress(compress(%d, %d), %d) = %d (diff %d, max diff %d)", a, bits, bits, got, diff, ceil) } } } } func CompressRat(x fieldElement, d uint8) uint16 { if x >= q { panic("x out of range") } if d <= 0 || d >= 12 { panic("d out of range") } precise := big.NewRat((1<<d)*int64(x),...

aead.dev/mtls v0.2.1 h1:47NHWciMvrmEhlkpnis8/RGEa9HR9gcbDPfcArG+Yqs=
aead.dev/mtls v0.2.1/go.mod h1:rZvRApIcPkCNu2AgpFoaMxKBee/XVkKs7wEuYgqLI3Q=
cel.dev/expr v0.23.1 h1:K4KOtPCJQjVggkARsjG9RWXP6O4R73aHeJMa/dmCQQg=
cel.dev/expr v0.23.1/go.mod h1:hLPLo1W4QUmuYdA72RBX06QTs6MXw941piREPl3Yfiw=
cloud.google.com/go v0.120.1 h1:Z+5V7yd383+9617XDCyszmK5E4wJRJL+tquMfDj9hLM=

OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

================================================================

cel.dev/expr
https://cel.dev/expr
----------------------------------------------------------------

                                 Apache License
                           Version 2.0, January 2004