Use common implementation of fastLog2 based on countLeadingZeroBits
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@@ -11,17 +11,6 @@ internal actual fun defaultPlatformRandom(): Random =
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Random(js("(Math.random() * Math.pow(2, 32)) | 0").unsafeCast<Int>())
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internal actual fun fastLog2(value: Int): Int {
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// TODO: not so fast, make faster
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var v = value
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var log = -1
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while (v != 0) {
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v = v.ushr(1)
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log++
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}
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return log
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}
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private val INV_2_26: Double = 2.0.pow(-26)
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private val INV_2_53: Double = 2.0.pow(-53)
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internal actual fun doubleFromParts(hi26: Int, low27: Int): Double =
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@@ -28,9 +28,6 @@ public fun java.util.Random.asKotlinRandom(): Random =
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internal actual inline fun defaultPlatformRandom(): Random =
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IMPLEMENTATIONS.defaultPlatformRandom()
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internal actual fun fastLog2(value: Int): Int =
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31 - Integer.numberOfLeadingZeros(value)
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internal actual fun doubleFromParts(hi26: Int, low27: Int): Double =
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(hi26.toLong().shl(27) + low27) / (1L shl 53).toDouble()
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@@ -336,9 +336,11 @@ public fun Random.nextLong(range: LongRange): Long = when {
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internal expect fun defaultPlatformRandom(): Random
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internal expect fun fastLog2(value: Int): Int // 31 - Integer.numberOfLeadingZeros(value)
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internal expect fun doubleFromParts(hi26: Int, low27: Int): Double
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@UseExperimental(ExperimentalStdlibApi::class)
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internal fun fastLog2(value: Int): Int = 31 - value.countLeadingZeroBits()
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/** Takes upper [bitCount] bits (0..32) from this number. */
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internal fun Int.takeUpperBits(bitCount: Int): Int =
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this.ushr(32 - bitCount) and (-bitCount).shr(31)
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