// Output: 0.00
}

func ExampleSqrt() {
	const (
		a = 3
		b = 4
	)
	c := math.Sqrt(a*a + b*b)
	fmt.Printf("%.1f", c)
	// Output: 5.0
}

func ExampleCeil() {
	c := math.Ceil(1.49)
	fmt.Printf("%.1f", c)
	// Output: 2.0
}

func ExampleFloor() {
	c := math.Floor(1.51)
	fmt.Printf("%.1f", c)
	// Output: 1.0
}

func ExamplePow() {
	c := math.Pow(2, 3)

}

// numDesiredSlices calculates the number of EndpointSlices that would exist
// with ideal endpoint distribution.
func numDesiredSlices(numEndpoints, maxPerSlice int) int {
	return int(math.Ceil(float64(numEndpoints) / float64(maxPerSlice)))

// to a hand of the given size.  The result is meaningful only if
// 1 <= handSize <= deckSize <= 1<<26.
func RequiredEntropyBits(deckSize, handSize int) int {
	return int(math.Ceil(math.Log2(float64(deckSize)) * float64(handSize)))
}

// Dealer contains some necessary parameters and provides some methods for shuffle sharding.
// Dealer is thread-safe.
type Dealer struct {
	deckSize int

		}
	}
}

func TestCeil(t *testing.T) {
	for i := 0; i < len(vf); i++ {
		if f := Ceil(vf[i]); !alike(ceil[i], f) {
			t.Errorf("Ceil(%g) = %g, want %g", vf[i], f, ceil[i])
		}
	}
	for i := 0; i < len(vfceilSC); i++ {
		if f := Ceil(vfceilSC[i]); !alike(ceilSC[i], f) {
			t.Errorf("Ceil(%g) = %g, want %g", vfceilSC[i], f, ceilSC[i])
		}
	}
}

func TestCopysign(t *testing.T) {

		//   events are equal and try to estimate the cost of a single event based on
		//   some historical data about size of events.
		finalSeats = uint64(math.Ceil(float64(watchCount) / e.config.WatchesPerSeat))
		finalWork := SeatsTimesDuration(float64(finalSeats), e.config.eventAdditionalDuration())

		// While processing individual events is highly parallel,

func approx(x float64) {
	// amd64/v2:-".*x86HasSSE41" amd64/v3:-".*x86HasSSE41"
	// amd64:"ROUNDSD\t[$]2"
	// s390x:"FIDBR\t[$]6"
	// arm64:"FRINTPD"
	// ppc64x:"FRIP"
	// wasm:"F64Ceil"
	sink64[0] = math.Ceil(x)

	// amd64/v2:-".*x86HasSSE41" amd64/v3:-".*x86HasSSE41"
	// amd64:"ROUNDSD\t[$]1"
	// s390x:"FIDBR\t[$]7"
	// arm64:"FRINTMD"
	// ppc64x:"FRIM"
	// wasm:"F64Floor"
	sink64[1] = math.Floor(x)

	// will be processed by the list request.
	// we will come up with a different formula for the transformation function and/or
	// fine tune this number in future iteratons.
	seats := uint64(math.Ceil(float64(estimatedObjectsToBeProcessed) / e.config.ObjectsPerSeat))

	// make sure we never return a seat of zero
	if seats < minSeats {
		seats = minSeats
	}
	if seats > maxSeats {
		seats = maxSeats
	}

		{name: "F32Trunc", asm: "F32Trunc", argLength: 1, reg: fp32_11, typ: "Float32"},       // trunc(arg0)
		{name: "F32Ceil", asm: "F32Ceil", argLength: 1, reg: fp32_11, typ: "Float32"},         // ceil(arg0)
		{name: "F32Floor", asm: "F32Floor", argLength: 1, reg: fp32_11, typ: "Float32"},       // floor(arg0)
		{name: "F32Nearest", asm: "F32Nearest", argLength: 1, reg: fp32_11, typ: "Float32"},   // round(arg0)

	b.ReportAllocs()
	// the actual benchmark for PutObjectPart starts here. Reset the benchmark timer.
	b.ResetTimer()
	for i := 0; i < b.N; i++ {
		// insert the object.
		totalPartsNR := int(math.Ceil(float64(objSize) / float64(partSize)))
		for j := 0; j < totalPartsNR; j++ {
			if j < totalPartsNR-1 {
				textPartData = textData[j*partSize : (j+1)*partSize-1]
			} else {
				textPartData = textData[j*partSize:]

        expect:
        def size = getZip().size()

        assert size <= getMaxDistributionSizeBytes() : "Distribution content needs to be verified. If the increase is expected, raise the size by ${Math.ceil((size - getMaxDistributionSizeBytes()) / 1024 / 1024)}"
    }

    def "no duplicate jar entries in distribution"() {
        given:
        def entriesByPath = zipEntries.groupBy { it.name }