Improve math docs

Add links from log to ln, log2, log10.
Format lists in docs so that they are pretty in quick doc window.
This commit is contained in:
Ilya Gorbunov
2017-10-06 23:00:32 +03:00
parent 873994545c
commit aab604d154
3 changed files with 506 additions and 548 deletions
+167 -181
View File
@@ -34,7 +34,6 @@ public const val E: Double = 2.718281828459045
/** Computes the sine of the angle [a] given in radians.
*
* Special cases:
*
* - `sin(NaN|+Inf|-Inf)` is `NaN`
*/
@SinceKotlin("1.2")
@@ -44,7 +43,6 @@ public inline fun sin(a: Double): Double = nativeMath.sin(a)
/** Computes the cosine of the angle [a] given in radians.
*
* Special cases:
*
* - `cos(NaN|+Inf|-Inf)` is `NaN`
*/
@SinceKotlin("1.2")
@@ -54,7 +52,6 @@ public inline fun cos(a: Double): Double = nativeMath.cos(a)
/** Computes the tangent of the angle [a] given in radians.
*
* Special cases:
*
* - `tan(NaN|+Inf|-Inf)` is `NaN`
*/
@SinceKotlin("1.2")
@@ -88,7 +85,7 @@ public inline fun acos(a: Double): Double = nativeMath.acos(a)
* the returned value is an angle in the range from `-PI/2` to `PI/2` radians.
*
* Special cases:
* - `atan(NaN)` is `NaN`
* - `atan(NaN)` is `NaN`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -100,15 +97,15 @@ public inline fun atan(a: Double): Double = nativeMath.atan(a)
* the returned value is an angle in the range from `-PI` to `PI` radians.
*
* Special cases:
* - `atan2(0.0, 0.0)` is `0.0`
* - `atan2(0.0, x)` is `0.0` for `x > 0` and `PI` for `x < 0`
* - `atan2(-0.0, x)` is `-0.0` for 'x > 0` and `-PI` for `x < 0`
* - `atan2(y, +Inf)` is `0.0` for `0 < y < +Inf` and `-0.0` for '-Inf < y < 0`
* - `atan2(y, -Inf)` is `PI` for `0 < y < +Inf` and `-PI` for `-Inf < y < 0`
* - `atan2(y, 0.0)` is `PI/2` for `y > 0` and `-PI/2` for `y < 0`
* - `atan2(+Inf, x)` is `PI/2` for finite `x`y
* - `atan2(-Inf, x)` is `-PI/2` for finite `x`
* - `atan2(NaN, x)` and `atan2(y, NaN)` is `NaN`
* - `atan2(0.0, 0.0)` is `0.0`
* - `atan2(0.0, x)` is `0.0` for `x > 0` and `PI` for `x < 0`
* - `atan2(-0.0, x)` is `-0.0` for 'x > 0` and `-PI` for `x < 0`
* - `atan2(y, +Inf)` is `0.0` for `0 < y < +Inf` and `-0.0` for '-Inf < y < 0`
* - `atan2(y, -Inf)` is `PI` for `0 < y < +Inf` and `-PI` for `-Inf < y < 0`
* - `atan2(y, 0.0)` is `PI/2` for `y > 0` and `-PI/2` for `y < 0`
* - `atan2(+Inf, x)` is `PI/2` for finite `x`y
* - `atan2(-Inf, x)` is `-PI/2` for finite `x`
* - `atan2(NaN, x)` and `atan2(y, NaN)` is `NaN`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -118,10 +115,9 @@ public inline fun atan2(y: Double, x: Double): Double = nativeMath.atan2(y, x)
* Computes the hyperbolic sine of the value [a].
*
* Special cases:
*
* - `sinh(NaN)` is `NaN`
* - `sinh(+Inf)` is `+Inf`
* - `sinh(-Inf)` is `-Inf`
* - `sinh(NaN)` is `NaN`
* - `sinh(+Inf)` is `+Inf`
* - `sinh(-Inf)` is `-Inf`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -131,9 +127,8 @@ public inline fun sinh(a: Double): Double = nativeMath.sinh(a)
* Computes the hyperbolic cosine of the value [a].
*
* Special cases:
*
* - `cosh(NaN)` is `NaN`
* - `cosh(+Inf|-Inf)` is `+Inf`
* - `cosh(NaN)` is `NaN`
* - `cosh(+Inf|-Inf)` is `+Inf`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -143,10 +138,9 @@ public inline fun cosh(a: Double): Double = nativeMath.cosh(a)
* Computes the hyperbolic tangent of the value [a].
*
* Special cases:
*
* - `tanh(NaN)` is `NaN`
* - `tanh(+Inf)` is `1.0`
* - `tanh(-Inf)` is `-1.0`
* - `tanh(NaN)` is `NaN`
* - `tanh(+Inf)` is `1.0`
* - `tanh(-Inf)` is `-1.0`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -158,10 +152,9 @@ public inline fun tanh(a: Double): Double = nativeMath.tanh(a)
* The returned value is `x` such that `sinh(x) == a`.
*
* Special cases:
*
* - `asinh(NaN)` is `NaN`
* - `asinh(+Inf)` is `+Inf`
* - `asinh(-Inf)` is `-Inf`
* - `asinh(NaN)` is `NaN`
* - `asinh(+Inf)` is `+Inf`
* - `asinh(-Inf)` is `-Inf`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -173,10 +166,9 @@ public inline fun asinh(a: Double): Double = nativeMath.asinh(a)
* The returned value is positive `x` such that `cosh(x) == a`.
*
* Special cases:
*
* - `acosh(NaN)` is `NaN`
* - `acosh(x)` is `NaN` when `x < 1`
* - `acosh(+Inf)` is `+Inf`
* - `acosh(NaN)` is `NaN`
* - `acosh(x)` is `NaN` when `x < 1`
* - `acosh(+Inf)` is `+Inf`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -188,11 +180,10 @@ public inline fun acosh(a: Double): Double = nativeMath.acosh(a)
* The returned value is `x` such that `tanh(x) == a`.
*
* Special cases:
*
* - `tanh(NaN)` is `NaN`
* - `tanh(x)` is `NaN` when `x > 1` or `x < -1`
* - `tanh(1.0)` is `+Inf`
* - `tanh(-1.0)` is `-Inf`
* - `tanh(NaN)` is `NaN`
* - `tanh(x)` is `NaN` when `x > 1` or `x < -1`
* - `tanh(1.0)` is `+Inf`
* - `tanh(-1.0)` is `-Inf`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -202,8 +193,8 @@ public inline fun atanh(a: Double): Double = nativeMath.atanh(a)
* Computes `sqrt(x^2 + y^2)` without intermediate overflow or underflow.
*
* Special cases:
* - returns `+Inf` if any of arguments is infinite
* - returns `NaN` if any of arguments is `NaN` and the other is not infinite
* - returns `+Inf` if any of arguments is infinite
* - returns `NaN` if any of arguments is `NaN` and the other is not infinite
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -213,7 +204,7 @@ public inline fun hypot(x: Double, y: Double): Double = nativeMath.hypot(x, y)
* Computes the positive square root of the value [a].
*
* Special cases:
* - `sqrt(x)` is `NaN` when `x < 0` or `x` is `NaN`
* - `sqrt(x)` is `NaN` when `x < 0` or `x` is `NaN`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -223,9 +214,9 @@ public inline fun sqrt(a: Double): Double = nativeMath.sqrt(a)
* Computes Euler's number `e` raised to the power of the value [a].
*
* Special cases:
* - `exp(NaN)` is `NaN`
* - `exp(+Inf)` is `+Inf`
* - `exp(-Inf)` is `0.0`
* - `exp(NaN)` is `NaN`
* - `exp(+Inf)` is `+Inf`
* - `exp(-Inf)` is `0.0`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -237,9 +228,9 @@ public inline fun exp(a: Double): Double = nativeMath.exp(a)
* This function can be implemented to produce more precise result for [a] near zero.
*
* Special cases:
* - `expm1(NaN)` is `NaN`
* - `expm1(+Inf)` is `+Inf`
* - `expm1(-Inf)` is `-1.0`
* - `expm1(NaN)` is `NaN`
* - `expm1(+Inf)` is `+Inf`
* - `expm1(-Inf)` is `-1.0`
*
* @see [exp] function.
*/
@@ -251,11 +242,13 @@ public inline fun expm1(a: Double): Double = nativeMath.expm1(a)
* Computes the logarithm of the value [a] to the given [base].
*
* Special cases:
* - `log(a, b)` is `NaN` if either `a` or `b` are `NaN`
* - `log(a, b)` is `NaN` when `a < 0` or `b <= 0` or `b == 1.0`
* - `log(+Inf, +Inf)` is `NaN`
* - `log(+Inf, b)` is `+Inf` for `b > 1` and `-Inf` for `b < 1`
* - `log(0.0, b)` is `-Inf` for `b > 1` and `+Inf` for `b > 1`
* - `log(a, b)` is `NaN` if either `a` or `b` are `NaN`
* - `log(a, b)` is `NaN` when `a < 0` or `b <= 0` or `b == 1.0`
* - `log(+Inf, +Inf)` is `NaN`
* - `log(+Inf, b)` is `+Inf` for `b > 1` and `-Inf` for `b < 1`
* - `log(0.0, b)` is `-Inf` for `b > 1` and `+Inf` for `b > 1`
*
* See also logarithm functions for common fixed bases: [ln], [log10] and [log2].
*/
@SinceKotlin("1.2")
public fun log(a: Double, base: Double): Double {
@@ -267,10 +260,10 @@ public fun log(a: Double, base: Double): Double {
* Computes the natural logarithm (base `E`) of the value [a].
*
* Special cases:
* - `ln(NaN)` is `NaN`
* - `ln(x)` is `NaN` when `x < 0.0`
* - `ln(+Inf)` is `+Inf`
* - `ln(0.0)` is `-Inf`
* - `ln(NaN)` is `NaN`
* - `ln(x)` is `NaN` when `x < 0.0`
* - `ln(+Inf)` is `+Inf`
* - `ln(0.0)` is `-Inf`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -300,10 +293,10 @@ public inline fun log2(a: Double): Double = nativeMath.log2(a)
* This function can be implemented to produce more precise result for [a] near zero.
*
* Special cases:
* - `ln1p(NaN)` is `NaN`
* - `ln1p(x)` is `NaN` where `x < -1.0`
* - `ln1p(-1.0)` is `-Inf`
* - `ln1p(+Inf)` is `+Inf`
* - `ln1p(NaN)` is `NaN`
* - `ln1p(x)` is `NaN` where `x < -1.0`
* - `ln1p(-1.0)` is `-Inf`
* - `ln1p(+Inf)` is `+Inf`
*
* @see [ln] function
* @see [expm1] function
@@ -318,7 +311,7 @@ public inline fun ln1p(a: Double): Double = nativeMath.log1p(a)
* @return the smallest double value that is greater than the given value [a] and is a mathematical integer.
*
* Special cases:
* - `ceil(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
* - `ceil(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -330,7 +323,7 @@ public inline fun ceil(a: Double): Double = nativeMath.ceil(a).unsafeCast<Double
* @return the largest double value that is smaller than the given value [a] and is a mathematical integer.
*
* Special cases:
* - `floor(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
* - `floor(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -342,7 +335,7 @@ public inline fun floor(a: Double): Double = nativeMath.floor(a).unsafeCast<Doub
* @return the value [a] having its fractional part truncated.
*
* Special cases:
* - `truncate(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
* - `truncate(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -352,7 +345,7 @@ public inline fun truncate(a: Double): Double = nativeMath.trunc(a)
* Rounds the given value [a] towards the closest integer with ties rounded towards even integer.
*
* Special cases:
* - `round(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
* - `round(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
*/
@SinceKotlin("1.2")
public fun round(a: Double): Double {
@@ -367,7 +360,7 @@ public fun round(a: Double): Double {
* Returns the absolute value of the given value [a].
*
* Special cases:
* - `abs(NaN)` is `NaN`
* - `abs(NaN)` is `NaN`
*
* @see absoluteValue extension property for [Double]
*/
@@ -377,12 +370,12 @@ public inline fun abs(a: Double): Double = nativeMath.abs(a)
/**
* Returns the sign of the given value [a]:
* - `-1.0` if the value is negative,
* - zero if the value is zero,
* - `1.0` if the value is positive
* - `-1.0` if the value is negative,
* - zero if the value is zero,
* - `1.0` if the value is positive
*
* Special case:
* - `sign(NaN)` is `NaN`
* - `sign(NaN)` is `NaN`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -412,12 +405,12 @@ public inline fun max(a: Double, b: Double): Double = nativeMath.max(a, b)
* Raises this value to the power [other].
*
* Special cases:
* - `x.pow(0.0)` is `1.0`
* - `x.pow(1.0) == x`
* - `x.pow(NaN)` is `NaN`
* - `NaN.pow(x)` is `NaN` for `x != 0.0`
* - `x.pow(Inf)` is `NaN` for `abs(x) == 1.0`
* - `x.pow(y)` is `NaN` for `x < 0` and `y` is finite and not an integer
* - `x.pow(0.0)` is `1.0`
* - `x.pow(1.0) == x`
* - `x.pow(NaN)` is `NaN`
* - `NaN.pow(x)` is `NaN` for `x != 0.0`
* - `x.pow(Inf)` is `NaN` for `abs(x) == 1.0`
* - `x.pow(y)` is `NaN` for `x < 0` and `y` is finite and not an integer
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -436,7 +429,7 @@ public inline fun Double.pow(other: Int): Double = nativeMath.pow(this, other.to
* Returns the absolute value of this value.
*
* Special cases:
* - `NaN.absoluteValue` is `NaN`
* - `NaN.absoluteValue` is `NaN`
*
* @see abs function
*/
@@ -446,12 +439,12 @@ public inline val Double.absoluteValue: Double get() = nativeMath.abs(this)
/**
* Returns the sign of this value:
* - `-1.0` if the value is negative,
* - zero if the value is zero,
* - `1.0` if the value is positive
* - `-1.0` if the value is negative,
* - zero if the value is zero,
* - `1.0` if the value is positive
*
* Special case:
* - `NaN.sign` is `NaN`
* - `NaN.sign` is `NaN`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -482,9 +475,9 @@ public inline fun Double.withSign(sign: Int): Double = this.withSign(sign.toDoub
* An ulp is a positive distance between this value and the next nearest [Double] value larger in magnitude.
*
* Special Cases:
* - `NaN.ulp` is `NaN`
* - `x.ulp` is `+Inf` when `x` is `+Inf` or `-Inf`
* - `0.0.ulp` is `Double.MIN_VALUE`
* - `NaN.ulp` is `NaN`
* - `x.ulp` is `+Inf` when `x` is `+Inf` or `-Inf`
* - `0.0.ulp` is `Double.MIN_VALUE`
*/
@SinceKotlin("1.2")
public val Double.ulp: Double get() = when {
@@ -519,8 +512,8 @@ public fun Double.nextDown(): Double = when {
* Returns the [Double] value nearest to this value in direction from this value towards the value [to].
*
* Special cases:
* - `x.nextTowards(y)` is `NaN` if either `x` or `y` are `NaN`
* - `x.nextTowards(x) == x`
* - `x.nextTowards(y)` is `NaN` if either `x` or `y` are `NaN`
* - `x.nextTowards(x) == x`
*
*/
@SinceKotlin("1.2")
@@ -537,8 +530,8 @@ public fun Double.nextTowards(to: Double): Double = when {
* Ties are rounded towards positive infinity.
*
* Special cases:
* - `x.roundToInt() == Int.MAX_VALUE` when `x > Int.MAX_VALUE`
* - `x.roundToInt() == Int.MIN_VALUE` when `x < Int.MIN_VALUE`
* - `x.roundToInt() == Int.MAX_VALUE` when `x > Int.MAX_VALUE`
* - `x.roundToInt() == Int.MIN_VALUE` when `x < Int.MIN_VALUE`
*
* @throws IllegalArgumentException when this value is `NaN`
*/
@@ -555,8 +548,8 @@ public fun Double.roundToInt(): Int = when {
* Ties are rounded towards positive infinity.
*
* Special cases:
* - `x.roundToLong() == Long.MAX_VALUE` when `x > Long.MAX_VALUE`
* - `x.roundToLong() == Long.MIN_VALUE` when `x < Long.MIN_VALUE`
* - `x.roundToLong() == Long.MAX_VALUE` when `x > Long.MAX_VALUE`
* - `x.roundToLong() == Long.MIN_VALUE` when `x < Long.MIN_VALUE`
*
* @throws IllegalArgumentException when this value is `NaN`
*/
@@ -576,7 +569,6 @@ public fun Double.roundToLong(): Long = when {
/** Computes the sine of the angle [a] given in radians.
*
* Special cases:
*
* - `sin(NaN|+Inf|-Inf)` is `NaN`
*/
@SinceKotlin("1.2")
@@ -586,7 +578,6 @@ public inline fun sin(a: Float): Float = nativeMath.sin(a.toDouble()).toFloat()
/** Computes the cosine of the angle [a] given in radians.
*
* Special cases:
*
* - `cos(NaN|+Inf|-Inf)` is `NaN`
*/
@SinceKotlin("1.2")
@@ -596,7 +587,6 @@ public inline fun cos(a: Float): Float = nativeMath.cos(a.toDouble()).toFloat()
/** Computes the tangent of the angle [a] given in radians.
*
* Special cases:
*
* - `tan(NaN|+Inf|-Inf)` is `NaN`
*/
@SinceKotlin("1.2")
@@ -630,7 +620,7 @@ public inline fun acos(a: Float): Float = nativeMath.acos(a.toDouble()).toFloat(
* the returned value is an angle in the range from `-PI/2` to `PI/2` radians.
*
* Special cases:
* - `atan(NaN)` is `NaN`
* - `atan(NaN)` is `NaN`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -642,15 +632,15 @@ public inline fun atan(a: Float): Float = nativeMath.atan(a.toDouble()).toFloat(
* the returned value is an angle in the range from `-PI` to `PI` radians.
*
* Special cases:
* - `atan2(0.0, 0.0)` is `0.0`
* - `atan2(0.0, x)` is `0.0` for `x > 0` and `PI` for `x < 0`
* - `atan2(-0.0, x)` is `-0.0` for 'x > 0` and `-PI` for `x < 0`
* - `atan2(y, +Inf)` is `0.0` for `0 < y < +Inf` and `-0.0` for '-Inf < y < 0`
* - `atan2(y, -Inf)` is `PI` for `0 < y < +Inf` and `-PI` for `-Inf < y < 0`
* - `atan2(y, 0.0)` is `PI/2` for `y > 0` and `-PI/2` for `y < 0`
* - `atan2(+Inf, x)` is `PI/2` for finite `x`y
* - `atan2(-Inf, x)` is `-PI/2` for finite `x`
* - `atan2(NaN, x)` and `atan2(y, NaN)` is `NaN`
* - `atan2(0.0, 0.0)` is `0.0`
* - `atan2(0.0, x)` is `0.0` for `x > 0` and `PI` for `x < 0`
* - `atan2(-0.0, x)` is `-0.0` for 'x > 0` and `-PI` for `x < 0`
* - `atan2(y, +Inf)` is `0.0` for `0 < y < +Inf` and `-0.0` for '-Inf < y < 0`
* - `atan2(y, -Inf)` is `PI` for `0 < y < +Inf` and `-PI` for `-Inf < y < 0`
* - `atan2(y, 0.0)` is `PI/2` for `y > 0` and `-PI/2` for `y < 0`
* - `atan2(+Inf, x)` is `PI/2` for finite `x`y
* - `atan2(-Inf, x)` is `-PI/2` for finite `x`
* - `atan2(NaN, x)` and `atan2(y, NaN)` is `NaN`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -660,10 +650,9 @@ public inline fun atan2(y: Float, x: Float): Float = nativeMath.atan2(y.toDouble
* Computes the hyperbolic sine of the value [a].
*
* Special cases:
*
* - `sinh(NaN)` is `NaN`
* - `sinh(+Inf)` is `+Inf`
* - `sinh(-Inf)` is `-Inf`
* - `sinh(NaN)` is `NaN`
* - `sinh(+Inf)` is `+Inf`
* - `sinh(-Inf)` is `-Inf`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -673,9 +662,8 @@ public inline fun sinh(a: Float): Float = nativeMath.sinh(a.toDouble()).toFloat(
* Computes the hyperbolic cosine of the value [a].
*
* Special cases:
*
* - `cosh(NaN)` is `NaN`
* - `cosh(+Inf|-Inf)` is `+Inf`
* - `cosh(NaN)` is `NaN`
* - `cosh(+Inf|-Inf)` is `+Inf`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -685,10 +673,9 @@ public inline fun cosh(a: Float): Float = nativeMath.cosh(a.toDouble()).toFloat(
* Computes the hyperbolic tangent of the value [a].
*
* Special cases:
*
* - `tanh(NaN)` is `NaN`
* - `tanh(+Inf)` is `1.0`
* - `tanh(-Inf)` is `-1.0`
* - `tanh(NaN)` is `NaN`
* - `tanh(+Inf)` is `1.0`
* - `tanh(-Inf)` is `-1.0`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -700,10 +687,9 @@ public inline fun tanh(a: Float): Float = nativeMath.tanh(a.toDouble()).toFloat(
* The returned value is `x` such that `sinh(x) == a`.
*
* Special cases:
*
* - `asinh(NaN)` is `NaN`
* - `asinh(+Inf)` is `+Inf`
* - `asinh(-Inf)` is `-Inf`
* - `asinh(NaN)` is `NaN`
* - `asinh(+Inf)` is `+Inf`
* - `asinh(-Inf)` is `-Inf`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -715,10 +701,9 @@ public inline fun asinh(a: Float): Float = nativeMath.asinh(a.toDouble()).toFloa
* The returned value is positive `x` such that `cosh(x) == a`.
*
* Special cases:
*
* - `acosh(NaN)` is `NaN`
* - `acosh(x)` is `NaN` when `x < 1`
* - `acosh(+Inf)` is `+Inf`
* - `acosh(NaN)` is `NaN`
* - `acosh(x)` is `NaN` when `x < 1`
* - `acosh(+Inf)` is `+Inf`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -730,11 +715,10 @@ public inline fun acosh(a: Float): Float = nativeMath.acosh(a.toDouble()).toFloa
* The returned value is `x` such that `tanh(x) == a`.
*
* Special cases:
*
* - `tanh(NaN)` is `NaN`
* - `tanh(x)` is `NaN` when `x > 1` or `x < -1`
* - `tanh(1.0)` is `+Inf`
* - `tanh(-1.0)` is `-Inf`
* - `tanh(NaN)` is `NaN`
* - `tanh(x)` is `NaN` when `x > 1` or `x < -1`
* - `tanh(1.0)` is `+Inf`
* - `tanh(-1.0)` is `-Inf`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -744,8 +728,8 @@ public inline fun atanh(a: Float): Float = nativeMath.atanh(a.toDouble()).toFloa
* Computes `sqrt(x^2 + y^2)` without intermediate overflow or underflow.
*
* Special cases:
* - returns `+Inf` if any of arguments is infinite
* - returns `NaN` if any of arguments is `NaN` and the other is not infinite
* - returns `+Inf` if any of arguments is infinite
* - returns `NaN` if any of arguments is `NaN` and the other is not infinite
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -755,7 +739,7 @@ public inline fun hypot(x: Float, y: Float): Float = nativeMath.hypot(x.toDouble
* Computes the positive square root of the value [a].
*
* Special cases:
* - `sqrt(x)` is `NaN` when `x < 0` or `x` is `NaN`
* - `sqrt(x)` is `NaN` when `x < 0` or `x` is `NaN`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -765,9 +749,9 @@ public inline fun sqrt(a: Float): Float = nativeMath.sqrt(a.toDouble()).toFloat(
* Computes Euler's number `e` raised to the power of the value [a].
*
* Special cases:
* - `exp(NaN)` is `NaN`
* - `exp(+Inf)` is `+Inf`
* - `exp(-Inf)` is `0.0`
* - `exp(NaN)` is `NaN`
* - `exp(+Inf)` is `+Inf`
* - `exp(-Inf)` is `0.0`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -779,9 +763,9 @@ public inline fun exp(a: Float): Float = nativeMath.exp(a.toDouble()).toFloat()
* This function can be implemented to produce more precise result for [a] near zero.
*
* Special cases:
* - `expm1(NaN)` is `NaN`
* - `expm1(+Inf)` is `+Inf`
* - `expm1(-Inf)` is `-1.0`
* - `expm1(NaN)` is `NaN`
* - `expm1(+Inf)` is `+Inf`
* - `expm1(-Inf)` is `-1.0`
*
* @see [exp] function.
*/
@@ -793,11 +777,13 @@ public inline fun expm1(a: Float): Float = nativeMath.expm1(a.toDouble()).toFloa
* Computes the logarithm of the value [a] to the given [base].
*
* Special cases:
* - `log(a, b)` is `NaN` if either `a` or `b` are `NaN`
* - `log(a, b)` is `NaN` when `a < 0` or `b <= 0` or `b == 1.0`
* - `log(+Inf, +Inf)` is `NaN`
* - `log(+Inf, b)` is `+Inf` for `b > 1` and `-Inf` for `b < 1`
* - `log(0.0, b)` is `-Inf` for `b > 1` and `+Inf` for `b > 1`
* - `log(a, b)` is `NaN` if either `a` or `b` are `NaN`
* - `log(a, b)` is `NaN` when `a < 0` or `b <= 0` or `b == 1.0`
* - `log(+Inf, +Inf)` is `NaN`
* - `log(+Inf, b)` is `+Inf` for `b > 1` and `-Inf` for `b < 1`
* - `log(0.0, b)` is `-Inf` for `b > 1` and `+Inf` for `b > 1`
*
* See also logarithm functions for common fixed bases: [ln], [log10] and [log2].
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -807,10 +793,10 @@ public inline fun log(a: Float, base: Float): Float = log(a.toDouble(), base.toD
* Computes the natural logarithm (base `E`) of the value [a].
*
* Special cases:
* - `ln(NaN)` is `NaN`
* - `ln(x)` is `NaN` when `x < 0.0`
* - `ln(+Inf)` is `+Inf`
* - `ln(0.0)` is `-Inf`
* - `ln(NaN)` is `NaN`
* - `ln(x)` is `NaN` when `x < 0.0`
* - `ln(+Inf)` is `+Inf`
* - `ln(0.0)` is `-Inf`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -840,10 +826,10 @@ public inline fun log2(a: Float): Float = nativeMath.log2(a.toDouble()).toFloat(
* This function can be implemented to produce more precise result for [a] near zero.
*
* Special cases:
* - `ln1p(NaN)` is `NaN`
* - `ln1p(x)` is `NaN` where `x < -1.0`
* - `ln1p(-1.0)` is `-Inf`
* - `ln1p(+Inf)` is `+Inf`
* - `ln1p(NaN)` is `NaN`
* - `ln1p(x)` is `NaN` where `x < -1.0`
* - `ln1p(-1.0)` is `-Inf`
* - `ln1p(+Inf)` is `+Inf`
*
* @see [ln] function
* @see [expm1] function
@@ -858,7 +844,7 @@ public inline fun ln1p(a: Float): Float = nativeMath.log1p(a.toDouble()).toFloat
* @return the smallest Float value that is greater than the given value [a] and is a mathematical integer.
*
* Special cases:
* - `ceil(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
* - `ceil(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -870,7 +856,7 @@ public inline fun ceil(a: Float): Float = nativeMath.ceil(a.toDouble()).toFloat(
* @return the largest Float value that is smaller than the given value [a] and is a mathematical integer.
*
* Special cases:
* - `floor(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
* - `floor(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -882,7 +868,7 @@ public inline fun floor(a: Float): Float = nativeMath.floor(a.toDouble()).toFloa
* @return the value [a] having its fractional part truncated.
*
* Special cases:
* - `truncate(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
* - `truncate(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -892,7 +878,7 @@ public inline fun truncate(a: Float): Float = truncate(a.toDouble()).toFloat()
* Rounds the given value [a] towards the closest integer with ties rounded towards even integer.
*
* Special cases:
* - `round(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
* - `round(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -903,7 +889,7 @@ public inline fun round(a: Float): Float = round(a.toDouble()).toFloat()
* Returns the absolute value of the given value [a].
*
* Special cases:
* - `abs(NaN)` is `NaN`
* - `abs(NaN)` is `NaN`
*
* @see absoluteValue extension property for [Float]
*/
@@ -913,12 +899,12 @@ public inline fun abs(a: Float): Float = nativeMath.abs(a.toDouble()).toFloat()
/**
* Returns the sign of the given value [a]:
* - `-1.0` if the value is negative,
* - zero if the value is zero,
* - `1.0` if the value is positive
* - `-1.0` if the value is negative,
* - zero if the value is zero,
* - `1.0` if the value is positive
*
* Special case:
* - `sign(NaN)` is `NaN`
* - `sign(NaN)` is `NaN`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -950,12 +936,12 @@ public inline fun max(a: Float, b: Float): Float = nativeMath.max(a, b)
* Raises this value to the power [other].
*
* Special cases:
* - `x.pow(0.0)` is `1.0`
* - `x.pow(1.0) == x`
* - `x.pow(NaN)` is `NaN`
* - `NaN.pow(x)` is `NaN` for `x != 0.0`
* - `x.pow(Inf)` is `NaN` for `abs(x) == 1.0`
* - `x.pow(y)` is `NaN` for `x < 0` and `y` is finite and not an integer
* - `x.pow(0.0)` is `1.0`
* - `x.pow(1.0) == x`
* - `x.pow(NaN)` is `NaN`
* - `NaN.pow(x)` is `NaN` for `x != 0.0`
* - `x.pow(Inf)` is `NaN` for `abs(x) == 1.0`
* - `x.pow(y)` is `NaN` for `x < 0` and `y` is finite and not an integer
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -974,7 +960,7 @@ public inline fun Float.pow(other: Int): Float = nativeMath.pow(this.toDouble(),
* Returns the absolute value of this value.
*
* Special cases:
* - `NaN.absoluteValue` is `NaN`
* - `NaN.absoluteValue` is `NaN`
*
* @see abs function
*/
@@ -984,12 +970,12 @@ public inline val Float.absoluteValue: Float get() = nativeMath.abs(this.toDoubl
/**
* Returns the sign of this value:
* - `-1.0` if the value is negative,
* - zero if the value is zero,
* - `1.0` if the value is positive
* - `-1.0` if the value is negative,
* - zero if the value is zero,
* - `1.0` if the value is positive
*
* Special case:
* - `NaN.sign` is `NaN`
* - `NaN.sign` is `NaN`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -1016,8 +1002,8 @@ public inline fun Float.withSign(sign: Int): Float = this.toDouble().withSign(si
* Ties are rounded towards positive infinity.
*
* Special cases:
* - `x.roundToInt() == Int.MAX_VALUE` when `x > Int.MAX_VALUE`
* - `x.roundToInt() == Int.MIN_VALUE` when `x < Int.MIN_VALUE`
* - `x.roundToInt() == Int.MAX_VALUE` when `x > Int.MAX_VALUE`
* - `x.roundToInt() == Int.MIN_VALUE` when `x < Int.MIN_VALUE`
*
* @throws IllegalArgumentException when this value is `NaN`
*/
@@ -1030,8 +1016,8 @@ public inline fun Float.roundToInt(): Int = toDouble().roundToInt()
* Ties are rounded towards positive infinity.
*
* Special cases:
* - `x.roundToLong() == Long.MAX_VALUE` when `x > Long.MAX_VALUE`
* - `x.roundToLong() == Long.MIN_VALUE` when `x < Long.MIN_VALUE`
* - `x.roundToLong() == Long.MAX_VALUE` when `x > Long.MAX_VALUE`
* - `x.roundToLong() == Long.MIN_VALUE` when `x < Long.MIN_VALUE`
*
* @throws IllegalArgumentException when this value is `NaN`
*/
@@ -1046,7 +1032,7 @@ public inline fun Float.roundToLong(): Long = toDouble().roundToLong()
* Returns the absolute value of the given value [a].
*
* Special cases:
* - `abs(Int.MIN_VALUE)` is `Int.MIN_VALUE` due to an overflow
* - `abs(Int.MIN_VALUE)` is `Int.MIN_VALUE` due to an overflow
*
* @see absoluteValue extension property for [Int]
*/
@@ -1072,7 +1058,7 @@ public inline fun max(a: Int, b: Int): Int = maxOf(a, b)
* Returns the absolute value of this value.
*
* Special cases:
* - `Int.MIN_VALUE.absoluteValue` is `Int.MIN_VALUE` due to an overflow
* - `Int.MIN_VALUE.absoluteValue` is `Int.MIN_VALUE` due to an overflow
*
* @see abs function
*/
@@ -1082,9 +1068,9 @@ public inline val Int.absoluteValue: Int get() = abs(this)
/**
* Returns the sign of this value:
* - `-1` if the value is negative,
* - `0` if the value is zero,
* - `1` if the value is positive
* - `-1` if the value is negative,
* - `0` if the value is zero,
* - `1` if the value is positive
*/
@SinceKotlin("1.2")
public val Int.sign: Int get() = when {
@@ -1099,7 +1085,7 @@ public val Int.sign: Int get() = when {
* Returns the absolute value of the given value [a].
*
* Special cases:
* - `abs(Long.MIN_VALUE)` is `Long.MIN_VALUE` due to an overflow
* - `abs(Long.MIN_VALUE)` is `Long.MIN_VALUE` due to an overflow
*
* @see absoluteValue extension property for [Long]
*/
@@ -1124,7 +1110,7 @@ public inline fun max(a: Long, b: Long): Long = maxOf(a, b)
* Returns the absolute value of this value.
*
* Special cases:
* - `Long.MIN_VALUE.absoluteValue` is `Long.MIN_VALUE` due to an overflow
* - `Long.MIN_VALUE.absoluteValue` is `Long.MIN_VALUE` due to an overflow
*
* @see abs function
*/
@@ -1134,9 +1120,9 @@ public inline val Long.absoluteValue: Long get() = abs(this)
/**
* Returns the sign of this value:
* - `-1` if the value is negative,
* - `0` if the value is zero,
* - `1` if the value is positive
* - `-1` if the value is negative,
* - `0` if the value is zero,
* - `1` if the value is positive
*/
@SinceKotlin("1.2")
public val Long.sign: Int get() = when {
+167 -181
View File
@@ -32,7 +32,6 @@ public const val E: Double = 2.718281828459045
/** Computes the sine of the angle [a] given in radians.
*
* Special cases:
*
* - `sin(NaN|+Inf|-Inf)` is `NaN`
*/
@SinceKotlin("1.2")
@@ -41,7 +40,6 @@ public expect fun sin(a: Double): Double
/** Computes the cosine of the angle [a] given in radians.
*
* Special cases:
*
* - `cos(NaN|+Inf|-Inf)` is `NaN`
*/
@SinceKotlin("1.2")
@@ -50,7 +48,6 @@ public expect fun cos(a: Double): Double
/** Computes the tangent of the angle [a] given in radians.
*
* Special cases:
*
* - `tan(NaN|+Inf|-Inf)` is `NaN`
*/
@SinceKotlin("1.2")
@@ -81,7 +78,7 @@ public expect fun acos(a: Double): Double
* the returned value is an angle in the range from `-PI/2` to `PI/2` radians.
*
* Special cases:
* - `atan(NaN)` is `NaN`
* - `atan(NaN)` is `NaN`
*/
@SinceKotlin("1.2")
public expect fun atan(a: Double): Double
@@ -92,15 +89,15 @@ public expect fun atan(a: Double): Double
* the returned value is an angle in the range from `-PI` to `PI` radians.
*
* Special cases:
* - `atan2(0.0, 0.0)` is `0.0`
* - `atan2(0.0, x)` is `0.0` for `x > 0` and `PI` for `x < 0`
* - `atan2(-0.0, x)` is `-0.0` for 'x > 0` and `-PI` for `x < 0`
* - `atan2(y, +Inf)` is `0.0` for `0 < y < +Inf` and `-0.0` for '-Inf < y < 0`
* - `atan2(y, -Inf)` is `PI` for `0 < y < +Inf` and `-PI` for `-Inf < y < 0`
* - `atan2(y, 0.0)` is `PI/2` for `y > 0` and `-PI/2` for `y < 0`
* - `atan2(+Inf, x)` is `PI/2` for finite `x`y
* - `atan2(-Inf, x)` is `-PI/2` for finite `x`
* - `atan2(NaN, x)` and `atan2(y, NaN)` is `NaN`
* - `atan2(0.0, 0.0)` is `0.0`
* - `atan2(0.0, x)` is `0.0` for `x > 0` and `PI` for `x < 0`
* - `atan2(-0.0, x)` is `-0.0` for 'x > 0` and `-PI` for `x < 0`
* - `atan2(y, +Inf)` is `0.0` for `0 < y < +Inf` and `-0.0` for '-Inf < y < 0`
* - `atan2(y, -Inf)` is `PI` for `0 < y < +Inf` and `-PI` for `-Inf < y < 0`
* - `atan2(y, 0.0)` is `PI/2` for `y > 0` and `-PI/2` for `y < 0`
* - `atan2(+Inf, x)` is `PI/2` for finite `x`y
* - `atan2(-Inf, x)` is `-PI/2` for finite `x`
* - `atan2(NaN, x)` and `atan2(y, NaN)` is `NaN`
*/
@SinceKotlin("1.2")
public expect fun atan2(y: Double, x: Double): Double
@@ -109,10 +106,9 @@ public expect fun atan2(y: Double, x: Double): Double
* Computes the hyperbolic sine of the value [a].
*
* Special cases:
*
* - `sinh(NaN)` is `NaN`
* - `sinh(+Inf)` is `+Inf`
* - `sinh(-Inf)` is `-Inf`
* - `sinh(NaN)` is `NaN`
* - `sinh(+Inf)` is `+Inf`
* - `sinh(-Inf)` is `-Inf`
*/
@SinceKotlin("1.2")
public expect fun sinh(a: Double): Double
@@ -121,9 +117,8 @@ public expect fun sinh(a: Double): Double
* Computes the hyperbolic cosine of the value [a].
*
* Special cases:
*
* - `cosh(NaN)` is `NaN`
* - `cosh(+Inf|-Inf)` is `+Inf`
* - `cosh(NaN)` is `NaN`
* - `cosh(+Inf|-Inf)` is `+Inf`
*/
@SinceKotlin("1.2")
public expect fun cosh(a: Double): Double
@@ -132,10 +127,9 @@ public expect fun cosh(a: Double): Double
* Computes the hyperbolic tangent of the value [a].
*
* Special cases:
*
* - `tanh(NaN)` is `NaN`
* - `tanh(+Inf)` is `1.0`
* - `tanh(-Inf)` is `-1.0`
* - `tanh(NaN)` is `NaN`
* - `tanh(+Inf)` is `1.0`
* - `tanh(-Inf)` is `-1.0`
*/
@SinceKotlin("1.2")
public expect fun tanh(a: Double): Double
@@ -146,10 +140,9 @@ public expect fun tanh(a: Double): Double
* The returned value is `x` such that `sinh(x) == a`.
*
* Special cases:
*
* - `asinh(NaN)` is `NaN`
* - `asinh(+Inf)` is `+Inf`
* - `asinh(-Inf)` is `-Inf`
* - `asinh(NaN)` is `NaN`
* - `asinh(+Inf)` is `+Inf`
* - `asinh(-Inf)` is `-Inf`
*/
@SinceKotlin("1.2")
public expect fun asinh(a: Double): Double
@@ -160,10 +153,9 @@ public expect fun asinh(a: Double): Double
* The returned value is positive `x` such that `cosh(x) == a`.
*
* Special cases:
*
* - `acosh(NaN)` is `NaN`
* - `acosh(x)` is `NaN` when `x < 1`
* - `acosh(+Inf)` is `+Inf`
* - `acosh(NaN)` is `NaN`
* - `acosh(x)` is `NaN` when `x < 1`
* - `acosh(+Inf)` is `+Inf`
*/
@SinceKotlin("1.2")
public expect fun acosh(a: Double): Double
@@ -174,11 +166,10 @@ public expect fun acosh(a: Double): Double
* The returned value is `x` such that `tanh(x) == a`.
*
* Special cases:
*
* - `tanh(NaN)` is `NaN`
* - `tanh(x)` is `NaN` when `x > 1` or `x < -1`
* - `tanh(1.0)` is `+Inf`
* - `tanh(-1.0)` is `-Inf`
* - `tanh(NaN)` is `NaN`
* - `tanh(x)` is `NaN` when `x > 1` or `x < -1`
* - `tanh(1.0)` is `+Inf`
* - `tanh(-1.0)` is `-Inf`
*/
@SinceKotlin("1.2")
public expect fun atanh(a: Double): Double
@@ -187,8 +178,8 @@ public expect fun atanh(a: Double): Double
* Computes `sqrt(x^2 + y^2)` without intermediate overflow or underflow.
*
* Special cases:
* - returns `+Inf` if any of arguments is infinite
* - returns `NaN` if any of arguments is `NaN` and the other is not infinite
* - returns `+Inf` if any of arguments is infinite
* - returns `NaN` if any of arguments is `NaN` and the other is not infinite
*/
@SinceKotlin("1.2")
public expect fun hypot(x: Double, y: Double): Double
@@ -197,7 +188,7 @@ public expect fun hypot(x: Double, y: Double): Double
* Computes the positive square root of the value [a].
*
* Special cases:
* - `sqrt(x)` is `NaN` when `x < 0` or `x` is `NaN`
* - `sqrt(x)` is `NaN` when `x < 0` or `x` is `NaN`
*/
@SinceKotlin("1.2")
public expect fun sqrt(a: Double): Double
@@ -206,9 +197,9 @@ public expect fun sqrt(a: Double): Double
* Computes Euler's number `e` raised to the power of the value [a].
*
* Special cases:
* - `exp(NaN)` is `NaN`
* - `exp(+Inf)` is `+Inf`
* - `exp(-Inf)` is `0.0`
* - `exp(NaN)` is `NaN`
* - `exp(+Inf)` is `+Inf`
* - `exp(-Inf)` is `0.0`
*/
@SinceKotlin("1.2")
public expect fun exp(a: Double): Double
@@ -219,9 +210,9 @@ public expect fun exp(a: Double): Double
* This function can be implemented to produce more precise result for [a] near zero.
*
* Special cases:
* - `expm1(NaN)` is `NaN`
* - `expm1(+Inf)` is `+Inf`
* - `expm1(-Inf)` is `-1.0`
* - `expm1(NaN)` is `NaN`
* - `expm1(+Inf)` is `+Inf`
* - `expm1(-Inf)` is `-1.0`
*
* @see [exp] function.
*/
@@ -232,11 +223,13 @@ public expect fun expm1(a: Double): Double
* Computes the logarithm of the value [a] to the given [base].
*
* Special cases:
* - `log(a, b)` is `NaN` if either `a` or `b` are `NaN`
* - `log(a, b)` is `NaN` when `a < 0` or `b <= 0` or `b == 1.0`
* - `log(+Inf, +Inf)` is `NaN`
* - `log(+Inf, b)` is `+Inf` for `b > 1` and `-Inf` for `b < 1`
* - `log(0.0, b)` is `-Inf` for `b > 1` and `+Inf` for `b > 1`
* - `log(a, b)` is `NaN` if either `a` or `b` are `NaN`
* - `log(a, b)` is `NaN` when `a < 0` or `b <= 0` or `b == 1.0`
* - `log(+Inf, +Inf)` is `NaN`
* - `log(+Inf, b)` is `+Inf` for `b > 1` and `-Inf` for `b < 1`
* - `log(0.0, b)` is `-Inf` for `b > 1` and `+Inf` for `b > 1`
*
* See also logarithm functions for common fixed bases: [ln], [log10] and [log2].
*/
@SinceKotlin("1.2")
public expect fun log(a: Double, base: Double): Double
@@ -245,10 +238,10 @@ public expect fun log(a: Double, base: Double): Double
* Computes the natural logarithm (base `E`) of the value [a].
*
* Special cases:
* - `ln(NaN)` is `NaN`
* - `ln(x)` is `NaN` when `x < 0.0`
* - `ln(+Inf)` is `+Inf`
* - `ln(0.0)` is `-Inf`
* - `ln(NaN)` is `NaN`
* - `ln(x)` is `NaN` when `x < 0.0`
* - `ln(+Inf)` is `+Inf`
* - `ln(0.0)` is `-Inf`
*/
@SinceKotlin("1.2")
public expect fun ln(a: Double): Double
@@ -275,10 +268,10 @@ public expect fun log2(a: Double): Double
* This function can be implemented to produce more precise result for [a] near zero.
*
* Special cases:
* - `ln1p(NaN)` is `NaN`
* - `ln1p(x)` is `NaN` where `x < -1.0`
* - `ln1p(-1.0)` is `-Inf`
* - `ln1p(+Inf)` is `+Inf`
* - `ln1p(NaN)` is `NaN`
* - `ln1p(x)` is `NaN` where `x < -1.0`
* - `ln1p(-1.0)` is `-Inf`
* - `ln1p(+Inf)` is `+Inf`
*
* @see [ln] function
* @see [expm1] function
@@ -292,7 +285,7 @@ public expect fun ln1p(a: Double): Double
* @return the smallest double value that is greater than the given value [a] and is a mathematical integer.
*
* Special cases:
* - `ceil(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
* - `ceil(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
*/
@SinceKotlin("1.2")
public expect fun ceil(a: Double): Double
@@ -303,7 +296,7 @@ public expect fun ceil(a: Double): Double
* @return the largest double value that is smaller than the given value [a] and is a mathematical integer.
*
* Special cases:
* - `floor(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
* - `floor(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
*/
@SinceKotlin("1.2")
public expect fun floor(a: Double): Double
@@ -314,7 +307,7 @@ public expect fun floor(a: Double): Double
* @return the value [a] having its fractional part truncated.
*
* Special cases:
* - `truncate(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
* - `truncate(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
*/
@SinceKotlin("1.2")
public expect fun truncate(a: Double): Double
@@ -323,7 +316,7 @@ public expect fun truncate(a: Double): Double
* Rounds the given value [a] towards the closest integer with ties rounded towards even integer.
*
* Special cases:
* - `round(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
* - `round(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
*/
@SinceKotlin("1.2")
public expect fun round(a: Double): Double
@@ -332,7 +325,7 @@ public expect fun round(a: Double): Double
* Returns the absolute value of the given value [a].
*
* Special cases:
* - `abs(NaN)` is `NaN`
* - `abs(NaN)` is `NaN`
*
* @see absoluteValue extension property for [Double]
*/
@@ -341,12 +334,12 @@ public expect fun abs(a: Double): Double
/**
* Returns the sign of the given value [a]:
* - `-1.0` if the value is negative,
* - zero if the value is zero,
* - `1.0` if the value is positive
* - `-1.0` if the value is negative,
* - zero if the value is zero,
* - `1.0` if the value is positive
*
* Special case:
* - `sign(NaN)` is `NaN`
* - `sign(NaN)` is `NaN`
*/
@SinceKotlin("1.2")
public expect fun sign(a: Double): Double
@@ -373,12 +366,12 @@ public expect fun max(a: Double, b: Double): Double
* Raises this value to the power [other].
*
* Special cases:
* - `x.pow(0.0)` is `1.0`
* - `x.pow(1.0) == x`
* - `x.pow(NaN)` is `NaN`
* - `NaN.pow(x)` is `NaN` for `x != 0.0`
* - `x.pow(Inf)` is `NaN` for `abs(x) == 1.0`
* - `x.pow(y)` is `NaN` for `x < 0` and `y` is finite and not an integer
* - `x.pow(0.0)` is `1.0`
* - `x.pow(1.0) == x`
* - `x.pow(NaN)` is `NaN`
* - `NaN.pow(x)` is `NaN` for `x != 0.0`
* - `x.pow(Inf)` is `NaN` for `abs(x) == 1.0`
* - `x.pow(y)` is `NaN` for `x < 0` and `y` is finite and not an integer
*/
@SinceKotlin("1.2")
public expect fun Double.pow(other: Double): Double
@@ -395,7 +388,7 @@ public expect fun Double.pow(other: Int): Double
* Returns the absolute value of this value.
*
* Special cases:
* - `NaN.absoluteValue` is `NaN`
* - `NaN.absoluteValue` is `NaN`
*
* @see abs function
*/
@@ -404,12 +397,12 @@ public expect val Double.absoluteValue: Double
/**
* Returns the sign of this value:
* - `-1.0` if the value is negative,
* - zero if the value is zero,
* - `1.0` if the value is positive
* - `-1.0` if the value is negative,
* - zero if the value is zero,
* - `1.0` if the value is positive
*
* Special case:
* - `NaN.sign` is `NaN`
* - `NaN.sign` is `NaN`
*/
@SinceKotlin("1.2")
public expect val Double.sign: Double
@@ -434,9 +427,9 @@ public expect fun Double.withSign(sign: Int): Double
* An ulp is a positive distance between this value and the next nearest [Double] value larger in magnitude.
*
* Special Cases:
* - `NaN.ulp` is `NaN`
* - `x.ulp` is `+Inf` when `x` is `+Inf` or `-Inf`
* - `0.0.ulp` is `Double.MIN_VALUE`
* - `NaN.ulp` is `NaN`
* - `x.ulp` is `+Inf` when `x` is `+Inf` or `-Inf`
* - `0.0.ulp` is `Double.MIN_VALUE`
*/
@SinceKotlin("1.2")
public expect val Double.ulp: Double
@@ -456,8 +449,8 @@ public expect fun Double.nextDown(): Double
* Returns the [Double] value nearest to this value in direction from this value towards the value [to].
*
* Special cases:
* - `x.nextTowards(y)` is `NaN` if either `x` or `y` are `NaN`
* - `x.nextTowards(x) == x`
* - `x.nextTowards(y)` is `NaN` if either `x` or `y` are `NaN`
* - `x.nextTowards(x) == x`
*
*/
@SinceKotlin("1.2")
@@ -468,8 +461,8 @@ public expect fun Double.nextTowards(to: Double): Double
* Ties are rounded towards positive infinity.
*
* Special cases:
* - `x.roundToInt() == Int.MAX_VALUE` when `x > Int.MAX_VALUE`
* - `x.roundToInt() == Int.MIN_VALUE` when `x < Int.MIN_VALUE`
* - `x.roundToInt() == Int.MAX_VALUE` when `x > Int.MAX_VALUE`
* - `x.roundToInt() == Int.MIN_VALUE` when `x < Int.MIN_VALUE`
*
* @throws IllegalArgumentException when this value is `NaN`
*/
@@ -481,8 +474,8 @@ public expect fun Double.roundToInt(): Int
* Ties are rounded towards positive infinity.
*
* Special cases:
* - `x.roundToLong() == Long.MAX_VALUE` when `x > Long.MAX_VALUE`
* - `x.roundToLong() == Long.MIN_VALUE` when `x < Long.MIN_VALUE`
* - `x.roundToLong() == Long.MAX_VALUE` when `x > Long.MAX_VALUE`
* - `x.roundToLong() == Long.MIN_VALUE` when `x < Long.MIN_VALUE`
*
* @throws IllegalArgumentException when this value is `NaN`
*/
@@ -497,7 +490,6 @@ public expect fun Double.roundToLong(): Long
/** Computes the sine of the angle [a] given in radians.
*
* Special cases:
*
* - `sin(NaN|+Inf|-Inf)` is `NaN`
*/
@SinceKotlin("1.2")
@@ -506,7 +498,6 @@ public expect fun sin(a: Float): Float
/** Computes the cosine of the angle [a] given in radians.
*
* Special cases:
*
* - `cos(NaN|+Inf|-Inf)` is `NaN`
*/
@SinceKotlin("1.2")
@@ -515,7 +506,6 @@ public expect fun cos(a: Float): Float
/** Computes the tangent of the angle [a] given in radians.
*
* Special cases:
*
* - `tan(NaN|+Inf|-Inf)` is `NaN`
*/
@SinceKotlin("1.2")
@@ -546,7 +536,7 @@ public expect fun acos(a: Float): Float
* the returned value is an angle in the range from `-PI/2` to `PI/2` radians.
*
* Special cases:
* - `atan(NaN)` is `NaN`
* - `atan(NaN)` is `NaN`
*/
@SinceKotlin("1.2")
public expect fun atan(a: Float): Float
@@ -557,15 +547,15 @@ public expect fun atan(a: Float): Float
* the returned value is an angle in the range from `-PI` to `PI` radians.
*
* Special cases:
* - `atan2(0.0, 0.0)` is `0.0`
* - `atan2(0.0, x)` is `0.0` for `x > 0` and `PI` for `x < 0`
* - `atan2(-0.0, x)` is `-0.0` for 'x > 0` and `-PI` for `x < 0`
* - `atan2(y, +Inf)` is `0.0` for `0 < y < +Inf` and `-0.0` for '-Inf < y < 0`
* - `atan2(y, -Inf)` is `PI` for `0 < y < +Inf` and `-PI` for `-Inf < y < 0`
* - `atan2(y, 0.0)` is `PI/2` for `y > 0` and `-PI/2` for `y < 0`
* - `atan2(+Inf, x)` is `PI/2` for finite `x`y
* - `atan2(-Inf, x)` is `-PI/2` for finite `x`
* - `atan2(NaN, x)` and `atan2(y, NaN)` is `NaN`
* - `atan2(0.0, 0.0)` is `0.0`
* - `atan2(0.0, x)` is `0.0` for `x > 0` and `PI` for `x < 0`
* - `atan2(-0.0, x)` is `-0.0` for 'x > 0` and `-PI` for `x < 0`
* - `atan2(y, +Inf)` is `0.0` for `0 < y < +Inf` and `-0.0` for '-Inf < y < 0`
* - `atan2(y, -Inf)` is `PI` for `0 < y < +Inf` and `-PI` for `-Inf < y < 0`
* - `atan2(y, 0.0)` is `PI/2` for `y > 0` and `-PI/2` for `y < 0`
* - `atan2(+Inf, x)` is `PI/2` for finite `x`y
* - `atan2(-Inf, x)` is `-PI/2` for finite `x`
* - `atan2(NaN, x)` and `atan2(y, NaN)` is `NaN`
*/
@SinceKotlin("1.2")
public expect fun atan2(y: Float, x: Float): Float
@@ -574,10 +564,9 @@ public expect fun atan2(y: Float, x: Float): Float
* Computes the hyperbolic sine of the value [a].
*
* Special cases:
*
* - `sinh(NaN)` is `NaN`
* - `sinh(+Inf)` is `+Inf`
* - `sinh(-Inf)` is `-Inf`
* - `sinh(NaN)` is `NaN`
* - `sinh(+Inf)` is `+Inf`
* - `sinh(-Inf)` is `-Inf`
*/
@SinceKotlin("1.2")
public expect fun sinh(a: Float): Float
@@ -586,9 +575,8 @@ public expect fun sinh(a: Float): Float
* Computes the hyperbolic cosine of the value [a].
*
* Special cases:
*
* - `cosh(NaN)` is `NaN`
* - `cosh(+Inf|-Inf)` is `+Inf`
* - `cosh(NaN)` is `NaN`
* - `cosh(+Inf|-Inf)` is `+Inf`
*/
@SinceKotlin("1.2")
public expect fun cosh(a: Float): Float
@@ -597,10 +585,9 @@ public expect fun cosh(a: Float): Float
* Computes the hyperbolic tangent of the value [a].
*
* Special cases:
*
* - `tanh(NaN)` is `NaN`
* - `tanh(+Inf)` is `1.0`
* - `tanh(-Inf)` is `-1.0`
* - `tanh(NaN)` is `NaN`
* - `tanh(+Inf)` is `1.0`
* - `tanh(-Inf)` is `-1.0`
*/
@SinceKotlin("1.2")
public expect fun tanh(a: Float): Float
@@ -611,10 +598,9 @@ public expect fun tanh(a: Float): Float
* The returned value is `x` such that `sinh(x) == a`.
*
* Special cases:
*
* - `asinh(NaN)` is `NaN`
* - `asinh(+Inf)` is `+Inf`
* - `asinh(-Inf)` is `-Inf`
* - `asinh(NaN)` is `NaN`
* - `asinh(+Inf)` is `+Inf`
* - `asinh(-Inf)` is `-Inf`
*/
@SinceKotlin("1.2")
public expect fun asinh(a: Float): Float
@@ -625,10 +611,9 @@ public expect fun asinh(a: Float): Float
* The returned value is positive `x` such that `cosh(x) == a`.
*
* Special cases:
*
* - `acosh(NaN)` is `NaN`
* - `acosh(x)` is `NaN` when `x < 1`
* - `acosh(+Inf)` is `+Inf`
* - `acosh(NaN)` is `NaN`
* - `acosh(x)` is `NaN` when `x < 1`
* - `acosh(+Inf)` is `+Inf`
*/
@SinceKotlin("1.2")
public expect fun acosh(a: Float): Float
@@ -639,11 +624,10 @@ public expect fun acosh(a: Float): Float
* The returned value is `x` such that `tanh(x) == a`.
*
* Special cases:
*
* - `tanh(NaN)` is `NaN`
* - `tanh(x)` is `NaN` when `x > 1` or `x < -1`
* - `tanh(1.0)` is `+Inf`
* - `tanh(-1.0)` is `-Inf`
* - `tanh(NaN)` is `NaN`
* - `tanh(x)` is `NaN` when `x > 1` or `x < -1`
* - `tanh(1.0)` is `+Inf`
* - `tanh(-1.0)` is `-Inf`
*/
@SinceKotlin("1.2")
public expect fun atanh(a: Float): Float
@@ -652,8 +636,8 @@ public expect fun atanh(a: Float): Float
* Computes `sqrt(x^2 + y^2)` without intermediate overflow or underflow.
*
* Special cases:
* - returns `+Inf` if any of arguments is infinite
* - returns `NaN` if any of arguments is `NaN` and the other is not infinite
* - returns `+Inf` if any of arguments is infinite
* - returns `NaN` if any of arguments is `NaN` and the other is not infinite
*/
@SinceKotlin("1.2")
public expect fun hypot(x: Float, y: Float): Float
@@ -662,7 +646,7 @@ public expect fun hypot(x: Float, y: Float): Float
* Computes the positive square root of the value [a].
*
* Special cases:
* - `sqrt(x)` is `NaN` when `x < 0` or `x` is `NaN`
* - `sqrt(x)` is `NaN` when `x < 0` or `x` is `NaN`
*/
@SinceKotlin("1.2")
public expect fun sqrt(a: Float): Float
@@ -671,9 +655,9 @@ public expect fun sqrt(a: Float): Float
* Computes Euler's number `e` raised to the power of the value [a].
*
* Special cases:
* - `exp(NaN)` is `NaN`
* - `exp(+Inf)` is `+Inf`
* - `exp(-Inf)` is `0.0`
* - `exp(NaN)` is `NaN`
* - `exp(+Inf)` is `+Inf`
* - `exp(-Inf)` is `0.0`
*/
@SinceKotlin("1.2")
public expect fun exp(a: Float): Float
@@ -684,9 +668,9 @@ public expect fun exp(a: Float): Float
* This function can be implemented to produce more precise result for [a] near zero.
*
* Special cases:
* - `expm1(NaN)` is `NaN`
* - `expm1(+Inf)` is `+Inf`
* - `expm1(-Inf)` is `-1.0`
* - `expm1(NaN)` is `NaN`
* - `expm1(+Inf)` is `+Inf`
* - `expm1(-Inf)` is `-1.0`
*
* @see [exp] function.
*/
@@ -697,11 +681,13 @@ public expect fun expm1(a: Float): Float
* Computes the logarithm of the value [a] to the given [base].
*
* Special cases:
* - `log(a, b)` is `NaN` if either `a` or `b` are `NaN`
* - `log(a, b)` is `NaN` when `a < 0` or `b <= 0` or `b == 1.0`
* - `log(+Inf, +Inf)` is `NaN`
* - `log(+Inf, b)` is `+Inf` for `b > 1` and `-Inf` for `b < 1`
* - `log(0.0, b)` is `-Inf` for `b > 1` and `+Inf` for `b > 1`
* - `log(a, b)` is `NaN` if either `a` or `b` are `NaN`
* - `log(a, b)` is `NaN` when `a < 0` or `b <= 0` or `b == 1.0`
* - `log(+Inf, +Inf)` is `NaN`
* - `log(+Inf, b)` is `+Inf` for `b > 1` and `-Inf` for `b < 1`
* - `log(0.0, b)` is `-Inf` for `b > 1` and `+Inf` for `b > 1`
*
* See also logarithm functions for common fixed bases: [ln], [log10] and [log2].
*/
@SinceKotlin("1.2")
public expect fun log(a: Float, base: Float): Float
@@ -710,10 +696,10 @@ public expect fun log(a: Float, base: Float): Float
* Computes the natural logarithm (base `E`) of the value [a].
*
* Special cases:
* - `ln(NaN)` is `NaN`
* - `ln(x)` is `NaN` when `x < 0.0`
* - `ln(+Inf)` is `+Inf`
* - `ln(0.0)` is `-Inf`
* - `ln(NaN)` is `NaN`
* - `ln(x)` is `NaN` when `x < 0.0`
* - `ln(+Inf)` is `+Inf`
* - `ln(0.0)` is `-Inf`
*/
@SinceKotlin("1.2")
public expect fun ln(a: Float): Float
@@ -740,10 +726,10 @@ public expect fun log2(a: Float): Float
* This function can be implemented to produce more precise result for [a] near zero.
*
* Special cases:
* - `ln1p(NaN)` is `NaN`
* - `ln1p(x)` is `NaN` where `x < -1.0`
* - `ln1p(-1.0)` is `-Inf`
* - `ln1p(+Inf)` is `+Inf`
* - `ln1p(NaN)` is `NaN`
* - `ln1p(x)` is `NaN` where `x < -1.0`
* - `ln1p(-1.0)` is `-Inf`
* - `ln1p(+Inf)` is `+Inf`
*
* @see [ln] function
* @see [expm1] function
@@ -757,7 +743,7 @@ public expect fun ln1p(a: Float): Float
* @return the smallest Float value that is greater than the given value [a] and is a mathematical integer.
*
* Special cases:
* - `ceil(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
* - `ceil(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
*/
@SinceKotlin("1.2")
public expect fun ceil(a: Float): Float
@@ -768,7 +754,7 @@ public expect fun ceil(a: Float): Float
* @return the largest Float value that is smaller than the given value [a] and is a mathematical integer.
*
* Special cases:
* - `floor(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
* - `floor(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
*/
@SinceKotlin("1.2")
public expect fun floor(a: Float): Float
@@ -779,7 +765,7 @@ public expect fun floor(a: Float): Float
* @return the value [a] having its fractional part truncated.
*
* Special cases:
* - `truncate(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
* - `truncate(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
*/
@SinceKotlin("1.2")
public expect fun truncate(a: Float): Float
@@ -788,7 +774,7 @@ public expect fun truncate(a: Float): Float
* Rounds the given value [a] towards the closest integer with ties rounded towards even integer.
*
* Special cases:
* - `round(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
* - `round(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
*/
@SinceKotlin("1.2")
public expect fun round(a: Float): Float
@@ -798,7 +784,7 @@ public expect fun round(a: Float): Float
* Returns the absolute value of the given value [a].
*
* Special cases:
* - `abs(NaN)` is `NaN`
* - `abs(NaN)` is `NaN`
*
* @see absoluteValue extension property for [Float]
*/
@@ -807,12 +793,12 @@ public expect fun abs(a: Float): Float
/**
* Returns the sign of the given value [a]:
* - `-1.0` if the value is negative,
* - zero if the value is zero,
* - `1.0` if the value is positive
* - `-1.0` if the value is negative,
* - zero if the value is zero,
* - `1.0` if the value is positive
*
* Special case:
* - `sign(NaN)` is `NaN`
* - `sign(NaN)` is `NaN`
*/
@SinceKotlin("1.2")
public expect fun sign(a: Float): Float
@@ -841,12 +827,12 @@ public expect fun max(a: Float, b: Float): Float
* Raises this value to the power [other].
*
* Special cases:
* - `x.pow(0.0)` is `1.0`
* - `x.pow(1.0) == x`
* - `x.pow(NaN)` is `NaN`
* - `NaN.pow(x)` is `NaN` for `x != 0.0`
* - `x.pow(Inf)` is `NaN` for `abs(x) == 1.0`
* - `x.pow(y)` is `NaN` for `x < 0` and `y` is finite and not an integer
* - `x.pow(0.0)` is `1.0`
* - `x.pow(1.0) == x`
* - `x.pow(NaN)` is `NaN`
* - `NaN.pow(x)` is `NaN` for `x != 0.0`
* - `x.pow(Inf)` is `NaN` for `abs(x) == 1.0`
* - `x.pow(y)` is `NaN` for `x < 0` and `y` is finite and not an integer
*/
@SinceKotlin("1.2")
public expect fun Float.pow(other: Float): Float
@@ -863,7 +849,7 @@ public expect fun Float.pow(other: Int): Float
* Returns the absolute value of this value.
*
* Special cases:
* - `NaN.absoluteValue` is `NaN`
* - `NaN.absoluteValue` is `NaN`
*
* @see abs function
*/
@@ -872,12 +858,12 @@ public expect val Float.absoluteValue: Float
/**
* Returns the sign of this value:
* - `-1.0` if the value is negative,
* - zero if the value is zero,
* - `1.0` if the value is positive
* - `-1.0` if the value is negative,
* - zero if the value is zero,
* - `1.0` if the value is positive
*
* Special case:
* - `NaN.sign` is `NaN`
* - `NaN.sign` is `NaN`
*/
@SinceKotlin("1.2")
public expect val Float.sign: Float
@@ -901,8 +887,8 @@ public expect fun Float.withSign(sign: Int): Float
* Ties are rounded towards positive infinity.
*
* Special cases:
* - `x.roundToInt() == Int.MAX_VALUE` when `x > Int.MAX_VALUE`
* - `x.roundToInt() == Int.MIN_VALUE` when `x < Int.MIN_VALUE`
* - `x.roundToInt() == Int.MAX_VALUE` when `x > Int.MAX_VALUE`
* - `x.roundToInt() == Int.MIN_VALUE` when `x < Int.MIN_VALUE`
*
* @throws IllegalArgumentException when this value is `NaN`
*/
@@ -914,8 +900,8 @@ public expect fun Float.roundToInt(): Int
* Ties are rounded towards positive infinity.
*
* Special cases:
* - `x.roundToLong() == Long.MAX_VALUE` when `x > Long.MAX_VALUE`
* - `x.roundToLong() == Long.MIN_VALUE` when `x < Long.MIN_VALUE`
* - `x.roundToLong() == Long.MAX_VALUE` when `x > Long.MAX_VALUE`
* - `x.roundToLong() == Long.MIN_VALUE` when `x < Long.MIN_VALUE`
*
* @throws IllegalArgumentException when this value is `NaN`
*/
@@ -929,7 +915,7 @@ public expect fun Float.roundToLong(): Long
* Returns the absolute value of the given value [a].
*
* Special cases:
* - `abs(Int.MIN_VALUE)` is `Int.MIN_VALUE` due to an overflow
* - `abs(Int.MIN_VALUE)` is `Int.MIN_VALUE` due to an overflow
*
* @see absoluteValue extension property for [Int]
*/
@@ -952,7 +938,7 @@ public expect fun max(a: Int, b: Int): Int
* Returns the absolute value of this value.
*
* Special cases:
* - `Int.MIN_VALUE.absoluteValue` is `Int.MIN_VALUE` due to an overflow
* - `Int.MIN_VALUE.absoluteValue` is `Int.MIN_VALUE` due to an overflow
*
* @see abs function
*/
@@ -961,9 +947,9 @@ public expect val Int.absoluteValue: Int
/**
* Returns the sign of this value:
* - `-1` if the value is negative,
* - `0` if the value is zero,
* - `1` if the value is positive
* - `-1` if the value is negative,
* - `0` if the value is zero,
* - `1` if the value is positive
*/
@SinceKotlin("1.2")
public expect val Int.sign: Int
@@ -974,7 +960,7 @@ public expect val Int.sign: Int
* Returns the absolute value of the given value [a].
*
* Special cases:
* - `abs(Long.MIN_VALUE)` is `Long.MIN_VALUE` due to an overflow
* - `abs(Long.MIN_VALUE)` is `Long.MIN_VALUE` due to an overflow
*
* @see absoluteValue extension property for [Long]
*/
@@ -997,7 +983,7 @@ public expect fun max(a: Long, b: Long): Long
* Returns the absolute value of this value.
*
* Special cases:
* - `Long.MIN_VALUE.absoluteValue` is `Long.MIN_VALUE` due to an overflow
* - `Long.MIN_VALUE.absoluteValue` is `Long.MIN_VALUE` due to an overflow
*
* @see abs function
*/
@@ -1006,9 +992,9 @@ public expect val Long.absoluteValue: Long
/**
* Returns the sign of this value:
* - `-1` if the value is negative,
* - `0` if the value is zero,
* - `1` if the value is positive
* - `-1` if the value is negative,
* - `0` if the value is zero,
* - `1` if the value is positive
*/
@SinceKotlin("1.2")
public expect val Long.sign: Int
+172 -186
View File
@@ -43,7 +43,6 @@ private val upper_taylor_n_bound = 1 / taylor_n_bound
/** Computes the sine of the angle [a] given in radians.
*
* Special cases:
*
* - `sin(NaN|+Inf|-Inf)` is `NaN`
*/
@SinceKotlin("1.2")
@@ -53,7 +52,6 @@ public inline fun sin(a: Double): Double = nativeMath.sin(a)
/** Computes the cosine of the angle [a] given in radians.
*
* Special cases:
*
* - `cos(NaN|+Inf|-Inf)` is `NaN`
*/
@SinceKotlin("1.2")
@@ -63,7 +61,6 @@ public inline fun cos(a: Double): Double = nativeMath.cos(a)
/** Computes the tangent of the angle [a] given in radians.
*
* Special cases:
*
* - `tan(NaN|+Inf|-Inf)` is `NaN`
*/
@SinceKotlin("1.2")
@@ -97,7 +94,7 @@ public inline fun acos(a: Double): Double = nativeMath.acos(a)
* the returned value is an angle in the range from `-PI/2` to `PI/2` radians.
*
* Special cases:
* - `atan(NaN)` is `NaN`
* - `atan(NaN)` is `NaN`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -109,15 +106,15 @@ public inline fun atan(a: Double): Double = nativeMath.atan(a)
* the returned value is an angle in the range from `-PI` to `PI` radians.
*
* Special cases:
* - `atan2(0.0, 0.0)` is `0.0`
* - `atan2(0.0, x)` is `0.0` for `x > 0` and `PI` for `x < 0`
* - `atan2(-0.0, x)` is `-0.0` for 'x > 0` and `-PI` for `x < 0`
* - `atan2(y, +Inf)` is `0.0` for `0 < y < +Inf` and `-0.0` for '-Inf < y < 0`
* - `atan2(y, -Inf)` is `PI` for `0 < y < +Inf` and `-PI` for `-Inf < y < 0`
* - `atan2(y, 0.0)` is `PI/2` for `y > 0` and `-PI/2` for `y < 0`
* - `atan2(+Inf, x)` is `PI/2` for finite `x`y
* - `atan2(-Inf, x)` is `-PI/2` for finite `x`
* - `atan2(NaN, x)` and `atan2(y, NaN)` is `NaN`
* - `atan2(0.0, 0.0)` is `0.0`
* - `atan2(0.0, x)` is `0.0` for `x > 0` and `PI` for `x < 0`
* - `atan2(-0.0, x)` is `-0.0` for 'x > 0` and `-PI` for `x < 0`
* - `atan2(y, +Inf)` is `0.0` for `0 < y < +Inf` and `-0.0` for '-Inf < y < 0`
* - `atan2(y, -Inf)` is `PI` for `0 < y < +Inf` and `-PI` for `-Inf < y < 0`
* - `atan2(y, 0.0)` is `PI/2` for `y > 0` and `-PI/2` for `y < 0`
* - `atan2(+Inf, x)` is `PI/2` for finite `x`y
* - `atan2(-Inf, x)` is `-PI/2` for finite `x`
* - `atan2(NaN, x)` and `atan2(y, NaN)` is `NaN`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -127,10 +124,9 @@ public inline fun atan2(y: Double, x: Double): Double = nativeMath.atan2(y, x)
* Computes the hyperbolic sine of the value [a].
*
* Special cases:
*
* - `sinh(NaN)` is `NaN`
* - `sinh(+Inf)` is `+Inf`
* - `sinh(-Inf)` is `-Inf`
* - `sinh(NaN)` is `NaN`
* - `sinh(+Inf)` is `+Inf`
* - `sinh(-Inf)` is `-Inf`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -140,9 +136,8 @@ public inline fun sinh(a: Double): Double = nativeMath.sinh(a)
* Computes the hyperbolic cosine of the value [a].
*
* Special cases:
*
* - `cosh(NaN)` is `NaN`
* - `cosh(+Inf|-Inf)` is `+Inf`
* - `cosh(NaN)` is `NaN`
* - `cosh(+Inf|-Inf)` is `+Inf`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -152,10 +147,9 @@ public inline fun cosh(a: Double): Double = nativeMath.cosh(a)
* Computes the hyperbolic tangent of the value [a].
*
* Special cases:
*
* - `tanh(NaN)` is `NaN`
* - `tanh(+Inf)` is `1.0`
* - `tanh(-Inf)` is `-1.0`
* - `tanh(NaN)` is `NaN`
* - `tanh(+Inf)` is `1.0`
* - `tanh(-Inf)` is `-1.0`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -171,10 +165,9 @@ public inline fun tanh(a: Double): Double = nativeMath.tanh(a)
* The returned value is `x` such that `sinh(x) == a`.
*
* Special cases:
*
* - `asinh(NaN)` is `NaN`
* - `asinh(+Inf)` is `+Inf`
* - `asinh(-Inf)` is `-Inf`
* - `asinh(NaN)` is `NaN`
* - `asinh(+Inf)` is `+Inf`
* - `asinh(-Inf)` is `-Inf`
*/
@SinceKotlin("1.2")
public fun asinh(a: Double): Double =
@@ -210,10 +203,9 @@ public fun asinh(a: Double): Double =
* The returned value is positive `x` such that `cosh(x) == a`.
*
* Special cases:
*
* - `acosh(NaN)` is `NaN`
* - `acosh(x)` is `NaN` when `x < 1`
* - `acosh(+Inf)` is `+Inf`
* - `acosh(NaN)` is `NaN`
* - `acosh(x)` is `NaN` when `x < 1`
* - `acosh(+Inf)` is `+Inf`
*/
@SinceKotlin("1.2")
public fun acosh(a: Double): Double =
@@ -246,11 +238,10 @@ public fun acosh(a: Double): Double =
* The returned value is `x` such that `tanh(x) == a`.
*
* Special cases:
*
* - `tanh(NaN)` is `NaN`
* - `tanh(x)` is `NaN` when `x > 1` or `x < -1`
* - `tanh(1.0)` is `+Inf`
* - `tanh(-1.0)` is `-Inf`
* - `tanh(NaN)` is `NaN`
* - `tanh(x)` is `NaN` when `x > 1` or `x < -1`
* - `tanh(1.0)` is `+Inf`
* - `tanh(-1.0)` is `-Inf`
*/
@SinceKotlin("1.2")
public fun atanh(x: Double): Double {
@@ -268,8 +259,8 @@ public fun atanh(x: Double): Double {
* Computes `sqrt(x^2 + y^2)` without intermediate overflow or underflow.
*
* Special cases:
* - returns `+Inf` if any of arguments is infinite
* - returns `NaN` if any of arguments is `NaN` and the other is not infinite
* - returns `+Inf` if any of arguments is infinite
* - returns `NaN` if any of arguments is `NaN` and the other is not infinite
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -279,7 +270,7 @@ public inline fun hypot(x: Double, y: Double): Double = nativeMath.hypot(x, y)
* Computes the positive square root of the value [a].
*
* Special cases:
* - `sqrt(x)` is `NaN` when `x < 0` or `x` is `NaN`
* - `sqrt(x)` is `NaN` when `x < 0` or `x` is `NaN`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -289,9 +280,9 @@ public inline fun sqrt(a: Double): Double = nativeMath.sqrt(a)
* Computes Euler's number `e` raised to the power of the value [a].
*
* Special cases:
* - `exp(NaN)` is `NaN`
* - `exp(+Inf)` is `+Inf`
* - `exp(-Inf)` is `0.0`
* - `exp(NaN)` is `NaN`
* - `exp(+Inf)` is `+Inf`
* - `exp(-Inf)` is `0.0`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -303,9 +294,9 @@ public inline fun exp(a: Double): Double = nativeMath.exp(a)
* This function can be implemented to produce more precise result for [a] near zero.
*
* Special cases:
* - `expm1(NaN)` is `NaN`
* - `expm1(+Inf)` is `+Inf`
* - `expm1(-Inf)` is `-1.0`
* - `expm1(NaN)` is `NaN`
* - `expm1(+Inf)` is `+Inf`
* - `expm1(-Inf)` is `-1.0`
*
* @see [exp] function.
*/
@@ -317,11 +308,13 @@ public inline fun expm1(a: Double): Double = nativeMath.expm1(a)
* Computes the logarithm of the value [a] to the given [base].
*
* Special cases:
* - `log(a, b)` is `NaN` if either `a` or `b` are `NaN`
* - `log(a, b)` is `NaN` when `a < 0` or `b <= 0` or `b == 1.0`
* - `log(+Inf, +Inf)` is `NaN`
* - `log(+Inf, b)` is `+Inf` for `b > 1` and `-Inf` for `b < 1`
* - `log(0.0, b)` is `-Inf` for `b > 1` and `+Inf` for `b > 1`
* - `log(a, b)` is `NaN` if either `a` or `b` are `NaN`
* - `log(a, b)` is `NaN` when `a < 0` or `b <= 0` or `b == 1.0`
* - `log(+Inf, +Inf)` is `NaN`
* - `log(+Inf, b)` is `+Inf` for `b > 1` and `-Inf` for `b < 1`
* - `log(0.0, b)` is `-Inf` for `b > 1` and `+Inf` for `b > 1`
*
* See also logarithm functions for common fixed bases: [ln], [log10] and [log2].
*/
@SinceKotlin("1.2")
public fun log(a: Double, base: Double): Double {
@@ -333,10 +326,10 @@ public fun log(a: Double, base: Double): Double {
* Computes the natural logarithm (base `E`) of the value [a].
*
* Special cases:
* - `ln(NaN)` is `NaN`
* - `ln(x)` is `NaN` when `x < 0.0`
* - `ln(+Inf)` is `+Inf`
* - `ln(0.0)` is `-Inf`
* - `ln(NaN)` is `NaN`
* - `ln(x)` is `NaN` when `x < 0.0`
* - `ln(+Inf)` is `+Inf`
* - `ln(0.0)` is `-Inf`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -365,10 +358,10 @@ public fun log2(a: Double): Double = nativeMath.log(a) / LN2
* This function can be implemented to produce more precise result for [a] near zero.
*
* Special cases:
* - `ln1p(NaN)` is `NaN`
* - `ln1p(x)` is `NaN` where `x < -1.0`
* - `ln1p(-1.0)` is `-Inf`
* - `ln1p(+Inf)` is `+Inf`
* - `ln1p(NaN)` is `NaN`
* - `ln1p(x)` is `NaN` where `x < -1.0`
* - `ln1p(-1.0)` is `-Inf`
* - `ln1p(+Inf)` is `+Inf`
*
* @see [ln] function
* @see [expm1] function
@@ -383,7 +376,7 @@ public inline fun ln1p(a: Double): Double = nativeMath.log1p(a)
* @return the smallest double value that is greater than the given value [a] and is a mathematical integer.
*
* Special cases:
* - `ceil(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
* - `ceil(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -395,7 +388,7 @@ public inline fun ceil(a: Double): Double = nativeMath.ceil(a)
* @return the largest double value that is smaller than the given value [a] and is a mathematical integer.
*
* Special cases:
* - `floor(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
* - `floor(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -407,7 +400,7 @@ public inline fun floor(a: Double): Double = nativeMath.floor(a)
* @return the value [a] having its fractional part truncated.
*
* Special cases:
* - `truncate(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
* - `truncate(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
*/
@SinceKotlin("1.2")
public fun truncate(a: Double): Double = when {
@@ -420,7 +413,7 @@ public fun truncate(a: Double): Double = when {
* Rounds the given value [a] towards the closest integer with ties rounded towards even integer.
*
* Special cases:
* - `round(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
* - `round(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -431,7 +424,7 @@ public inline fun round(a: Double): Double = nativeMath.rint(a)
* Returns the absolute value of the given value [a].
*
* Special cases:
* - `abs(NaN)` is `NaN`
* - `abs(NaN)` is `NaN`
*
* @see absoluteValue extension property for [Double]
*/
@@ -441,12 +434,12 @@ public inline fun abs(a: Double): Double = nativeMath.abs(a)
/**
* Returns the sign of the given value [a]:
* - `-1.0` if the value is negative,
* - zero if the value is zero,
* - `1.0` if the value is positive
* - `-1.0` if the value is negative,
* - zero if the value is zero,
* - `1.0` if the value is positive
*
* Special case:
* - `sign(NaN)` is `NaN`
* - `sign(NaN)` is `NaN`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -478,12 +471,12 @@ public inline fun max(a: Double, b: Double): Double = nativeMath.max(a, b)
* Raises this value to the power [other].
*
* Special cases:
* - `x.pow(0.0)` is `1.0`
* - `x.pow(1.0) == x`
* - `x.pow(NaN)` is `NaN`
* - `NaN.pow(x)` is `NaN` for `x != 0.0`
* - `x.pow(Inf)` is `NaN` for `abs(x) == 1.0`
* - `x.pow(y)` is `NaN` for `x < 0` and `y` is finite and not an integer
* - `x.pow(0.0)` is `1.0`
* - `x.pow(1.0) == x`
* - `x.pow(NaN)` is `NaN`
* - `NaN.pow(x)` is `NaN` for `x != 0.0`
* - `x.pow(Inf)` is `NaN` for `abs(x) == 1.0`
* - `x.pow(y)` is `NaN` for `x < 0` and `y` is finite and not an integer
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -518,7 +511,7 @@ public inline fun Double.IEEErem(other: Double): Double = nativeMath.IEEEremaind
* Returns the absolute value of this value.
*
* Special cases:
* - `NaN.absoluteValue` is `NaN`
* - `NaN.absoluteValue` is `NaN`
*
* @see abs function
*/
@@ -528,12 +521,12 @@ public inline val Double.absoluteValue: Double get() = nativeMath.abs(this)
/**
* Returns the sign of this value:
* - `-1.0` if the value is negative,
* - zero if the value is zero,
* - `1.0` if the value is positive
* - `-1.0` if the value is negative,
* - zero if the value is zero,
* - `1.0` if the value is positive
*
* Special case:
* - `NaN.sign` is `NaN`
* - `NaN.sign` is `NaN`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -560,9 +553,9 @@ public inline fun Double.withSign(sign: Int): Double = nativeMath.copySign(this,
* An ulp is a positive distance between this value and the next nearest [Double] value larger in magnitude.
*
* Special Cases:
* - `NaN.ulp` is `NaN`
* - `x.ulp` is `+Inf` when `x` is `+Inf` or `-Inf`
* - `0.0.ulp` is `Double.MIN_VALUE`
* - `NaN.ulp` is `NaN`
* - `x.ulp` is `+Inf` when `x` is `+Inf` or `-Inf`
* - `0.0.ulp` is `Double.MIN_VALUE`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -585,8 +578,8 @@ public inline fun Double.nextDown(): Double = nativeMath.nextAfter(this, Double.
* Returns the [Double] value nearest to this value in direction from this value towards the value [to].
*
* Special cases:
* - `x.nextTowards(y)` is `NaN` if either `x` or `y` are `NaN`
* - `x.nextTowards(x) == x`
* - `x.nextTowards(y)` is `NaN` if either `x` or `y` are `NaN`
* - `x.nextTowards(x) == x`
*
*/
@SinceKotlin("1.2")
@@ -598,8 +591,8 @@ public inline fun Double.nextTowards(to: Double): Double = nativeMath.nextAfter(
* Ties are rounded towards positive infinity.
*
* Special cases:
* - `x.roundToInt() == Int.MAX_VALUE` when `x > Int.MAX_VALUE`
* - `x.roundToInt() == Int.MIN_VALUE` when `x < Int.MIN_VALUE`
* - `x.roundToInt() == Int.MAX_VALUE` when `x > Int.MAX_VALUE`
* - `x.roundToInt() == Int.MIN_VALUE` when `x < Int.MIN_VALUE`
*
* @throws IllegalArgumentException when this value is `NaN`
*/
@@ -616,8 +609,8 @@ public fun Double.roundToInt(): Int = when {
* Ties are rounded towards positive infinity.
*
* Special cases:
* - `x.roundToLong() == Long.MAX_VALUE` when `x > Long.MAX_VALUE`
* - `x.roundToLong() == Long.MIN_VALUE` when `x < Long.MIN_VALUE`
* - `x.roundToLong() == Long.MAX_VALUE` when `x > Long.MAX_VALUE`
* - `x.roundToLong() == Long.MIN_VALUE` when `x < Long.MIN_VALUE`
*
* @throws IllegalArgumentException when this value is `NaN`
*/
@@ -631,7 +624,6 @@ public fun Double.roundToLong(): Long = if (isNaN()) throw IllegalArgumentExcept
/** Computes the sine of the angle [a] given in radians.
*
* Special cases:
*
* - `sin(NaN|+Inf|-Inf)` is `NaN`
*/
@SinceKotlin("1.2")
@@ -641,7 +633,6 @@ public inline fun sin(a: Float): Float = nativeMath.sin(a.toDouble()).toFloat()
/** Computes the cosine of the angle [a] given in radians.
*
* Special cases:
*
* - `cos(NaN|+Inf|-Inf)` is `NaN`
*/
@SinceKotlin("1.2")
@@ -651,7 +642,6 @@ public inline fun cos(a: Float): Float = nativeMath.cos(a.toDouble()).toFloat()
/** Computes the tangent of the angle [a] given in radians.
*
* Special cases:
*
* - `tan(NaN|+Inf|-Inf)` is `NaN`
*/
@SinceKotlin("1.2")
@@ -685,7 +675,7 @@ public inline fun acos(a: Float): Float = nativeMath.acos(a.toDouble()).toFloat(
* the returned value is an angle in the range from `-PI/2` to `PI/2` radians.
*
* Special cases:
* - `atan(NaN)` is `NaN`
* - `atan(NaN)` is `NaN`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -697,15 +687,15 @@ public inline fun atan(a: Float): Float = nativeMath.atan(a.toDouble()).toFloat(
* the returned value is an angle in the range from `-PI` to `PI` radians.
*
* Special cases:
* - `atan2(0.0, 0.0)` is `0.0`
* - `atan2(0.0, x)` is `0.0` for `x > 0` and `PI` for `x < 0`
* - `atan2(-0.0, x)` is `-0.0` for 'x > 0` and `-PI` for `x < 0`
* - `atan2(y, +Inf)` is `0.0` for `0 < y < +Inf` and `-0.0` for '-Inf < y < 0`
* - `atan2(y, -Inf)` is `PI` for `0 < y < +Inf` and `-PI` for `-Inf < y < 0`
* - `atan2(y, 0.0)` is `PI/2` for `y > 0` and `-PI/2` for `y < 0`
* - `atan2(+Inf, x)` is `PI/2` for finite `x`y
* - `atan2(-Inf, x)` is `-PI/2` for finite `x`
* - `atan2(NaN, x)` and `atan2(y, NaN)` is `NaN`
* - `atan2(0.0, 0.0)` is `0.0`
* - `atan2(0.0, x)` is `0.0` for `x > 0` and `PI` for `x < 0`
* - `atan2(-0.0, x)` is `-0.0` for 'x > 0` and `-PI` for `x < 0`
* - `atan2(y, +Inf)` is `0.0` for `0 < y < +Inf` and `-0.0` for '-Inf < y < 0`
* - `atan2(y, -Inf)` is `PI` for `0 < y < +Inf` and `-PI` for `-Inf < y < 0`
* - `atan2(y, 0.0)` is `PI/2` for `y > 0` and `-PI/2` for `y < 0`
* - `atan2(+Inf, x)` is `PI/2` for finite `x`y
* - `atan2(-Inf, x)` is `-PI/2` for finite `x`
* - `atan2(NaN, x)` and `atan2(y, NaN)` is `NaN`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -715,10 +705,9 @@ public inline fun atan2(y: Float, x: Float): Float = nativeMath.atan2(y.toDouble
* Computes the hyperbolic sine of the value [a].
*
* Special cases:
*
* - `sinh(NaN)` is `NaN`
* - `sinh(+Inf)` is `+Inf`
* - `sinh(-Inf)` is `-Inf`
* - `sinh(NaN)` is `NaN`
* - `sinh(+Inf)` is `+Inf`
* - `sinh(-Inf)` is `-Inf`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -728,9 +717,8 @@ public inline fun sinh(a: Float): Float = nativeMath.sinh(a.toDouble()).toFloat(
* Computes the hyperbolic cosine of the value [a].
*
* Special cases:
*
* - `cosh(NaN)` is `NaN`
* - `cosh(+Inf|-Inf)` is `+Inf`
* - `cosh(NaN)` is `NaN`
* - `cosh(+Inf|-Inf)` is `+Inf`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -740,10 +728,9 @@ public inline fun cosh(a: Float): Float = nativeMath.cosh(a.toDouble()).toFloat(
* Computes the hyperbolic tangent of the value [a].
*
* Special cases:
*
* - `tanh(NaN)` is `NaN`
* - `tanh(+Inf)` is `1.0`
* - `tanh(-Inf)` is `-1.0`
* - `tanh(NaN)` is `NaN`
* - `tanh(+Inf)` is `1.0`
* - `tanh(-Inf)` is `-1.0`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -755,10 +742,9 @@ public inline fun tanh(a: Float): Float = nativeMath.tanh(a.toDouble()).toFloat(
* The returned value is `x` such that `sinh(x) == a`.
*
* Special cases:
*
* - `asinh(NaN)` is `NaN`
* - `asinh(+Inf)` is `+Inf`
* - `asinh(-Inf)` is `-Inf`
* - `asinh(NaN)` is `NaN`
* - `asinh(+Inf)` is `+Inf`
* - `asinh(-Inf)` is `-Inf`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -770,10 +756,9 @@ public inline fun asinh(a: Float): Float = asinh(a.toDouble()).toFloat()
* The returned value is positive `x` such that `cosh(x) == a`.
*
* Special cases:
*
* - `acosh(NaN)` is `NaN`
* - `acosh(x)` is `NaN` when `x < 1`
* - `acosh(+Inf)` is `+Inf`
* - `acosh(NaN)` is `NaN`
* - `acosh(x)` is `NaN` when `x < 1`
* - `acosh(+Inf)` is `+Inf`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -785,11 +770,10 @@ public inline fun acosh(a: Float): Float = acosh(a.toDouble()).toFloat()
* The returned value is `x` such that `tanh(x) == a`.
*
* Special cases:
*
* - `tanh(NaN)` is `NaN`
* - `tanh(x)` is `NaN` when `x > 1` or `x < -1`
* - `tanh(1.0)` is `+Inf`
* - `tanh(-1.0)` is `-Inf`
* - `tanh(NaN)` is `NaN`
* - `tanh(x)` is `NaN` when `x > 1` or `x < -1`
* - `tanh(1.0)` is `+Inf`
* - `tanh(-1.0)` is `-Inf`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -799,8 +783,8 @@ public inline fun atanh(a: Float): Float = atanh(a.toDouble()).toFloat()
* Computes `sqrt(x^2 + y^2)` without intermediate overflow or underflow.
*
* Special cases:
* - returns `+Inf` if any of arguments is infinite
* - returns `NaN` if any of arguments is `NaN` and the other is not infinite
* - returns `+Inf` if any of arguments is infinite
* - returns `NaN` if any of arguments is `NaN` and the other is not infinite
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -810,7 +794,7 @@ public inline fun hypot(x: Float, y: Float): Float = nativeMath.hypot(x.toDouble
* Computes the positive square root of the value [a].
*
* Special cases:
* - `sqrt(x)` is `NaN` when `x < 0` or `x` is `NaN`
* - `sqrt(x)` is `NaN` when `x < 0` or `x` is `NaN`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -820,9 +804,9 @@ public inline fun sqrt(a: Float): Float = nativeMath.sqrt(a.toDouble()).toFloat(
* Computes Euler's number `e` raised to the power of the value [a].
*
* Special cases:
* - `exp(NaN)` is `NaN`
* - `exp(+Inf)` is `+Inf`
* - `exp(-Inf)` is `0.0`
* - `exp(NaN)` is `NaN`
* - `exp(+Inf)` is `+Inf`
* - `exp(-Inf)` is `0.0`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -834,9 +818,9 @@ public inline fun exp(a: Float): Float = nativeMath.exp(a.toDouble()).toFloat()
* This function can be implemented to produce more precise result for [a] near zero.
*
* Special cases:
* - `expm1(NaN)` is `NaN`
* - `expm1(+Inf)` is `+Inf`
* - `expm1(-Inf)` is `-1.0`
* - `expm1(NaN)` is `NaN`
* - `expm1(+Inf)` is `+Inf`
* - `expm1(-Inf)` is `-1.0`
*
* @see [exp] function.
*/
@@ -848,11 +832,13 @@ public inline fun expm1(a: Float): Float = nativeMath.expm1(a.toDouble()).toFloa
* Computes the logarithm of the value [a] to the given [base].
*
* Special cases:
* - `log(a, b)` is `NaN` if either `a` or `b` are `NaN`
* - `log(a, b)` is `NaN` when `a < 0` or `b <= 0` or `b == 1.0`
* - `log(+Inf, +Inf)` is `NaN`
* - `log(+Inf, b)` is `+Inf` for `b > 1` and `-Inf` for `b < 1`
* - `log(0.0, b)` is `-Inf` for `b > 1` and `+Inf` for `b > 1`
* - `log(a, b)` is `NaN` if either `a` or `b` are `NaN`
* - `log(a, b)` is `NaN` when `a < 0` or `b <= 0` or `b == 1.0`
* - `log(+Inf, +Inf)` is `NaN`
* - `log(+Inf, b)` is `+Inf` for `b > 1` and `-Inf` for `b < 1`
* - `log(0.0, b)` is `-Inf` for `b > 1` and `+Inf` for `b > 1`
*
* See also logarithm functions for common fixed bases: [ln], [log10] and [log2].
*/
@SinceKotlin("1.2")
public fun log(a: Float, base: Float): Float {
@@ -864,10 +850,10 @@ public fun log(a: Float, base: Float): Float {
* Computes the natural logarithm (base `E`) of the value [a].
*
* Special cases:
* - `ln(NaN)` is `NaN`
* - `ln(x)` is `NaN` when `x < 0.0`
* - `ln(+Inf)` is `+Inf`
* - `ln(0.0)` is `-Inf`
* - `ln(NaN)` is `NaN`
* - `ln(x)` is `NaN` when `x < 0.0`
* - `ln(+Inf)` is `+Inf`
* - `ln(0.0)` is `-Inf`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -896,10 +882,10 @@ public fun log2(a: Float): Float = (nativeMath.log(a.toDouble()) / LN2).toFloat(
* This function can be implemented to produce more precise result for [a] near zero.
*
* Special cases:
* - `ln1p(NaN)` is `NaN`
* - `ln1p(x)` is `NaN` where `x < -1.0`
* - `ln1p(-1.0)` is `-Inf`
* - `ln1p(+Inf)` is `+Inf`
* - `ln1p(NaN)` is `NaN`
* - `ln1p(x)` is `NaN` where `x < -1.0`
* - `ln1p(-1.0)` is `-Inf`
* - `ln1p(+Inf)` is `+Inf`
*
* @see [ln] function
* @see [expm1] function
@@ -914,7 +900,7 @@ public inline fun ln1p(a: Float): Float = nativeMath.log1p(a.toDouble()).toFloat
* @return the smallest Float value that is greater than the given value [a] and is a mathematical integer.
*
* Special cases:
* - `ceil(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
* - `ceil(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -926,7 +912,7 @@ public inline fun ceil(a: Float): Float = nativeMath.ceil(a.toDouble()).toFloat(
* @return the largest Float value that is smaller than the given value [a] and is a mathematical integer.
*
* Special cases:
* - `floor(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
* - `floor(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -938,7 +924,7 @@ public inline fun floor(a: Float): Float = nativeMath.floor(a.toDouble()).toFloa
* @return the value [a] having its fractional part truncated.
*
* Special cases:
* - `truncate(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
* - `truncate(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
*/
@SinceKotlin("1.2")
public fun truncate(a: Float): Float = when {
@@ -951,7 +937,7 @@ public fun truncate(a: Float): Float = when {
* Rounds the given value [a] towards the closest integer with ties rounded towards even integer.
*
* Special cases:
* - `round(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
* - `round(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -962,7 +948,7 @@ public inline fun round(a: Float): Float = nativeMath.rint(a.toDouble()).toFloat
* Returns the absolute value of the given value [a].
*
* Special cases:
* - `abs(NaN)` is `NaN`
* - `abs(NaN)` is `NaN`
*
* @see absoluteValue extension property for [Float]
*/
@@ -972,12 +958,12 @@ public inline fun abs(a: Float): Float = nativeMath.abs(a)
/**
* Returns the sign of the given value [a]:
* - `-1.0` if the value is negative,
* - zero if the value is zero,
* - `1.0` if the value is positive
* - `-1.0` if the value is negative,
* - zero if the value is zero,
* - `1.0` if the value is positive
*
* Special case:
* - `sign(NaN)` is `NaN`
* - `sign(NaN)` is `NaN`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -1009,12 +995,12 @@ public inline fun max(a: Float, b: Float): Float = nativeMath.max(a, b)
* Raises this value to the power [other].
*
* Special cases:
* - `x.pow(0.0)` is `1.0`
* - `x.pow(1.0) == x`
* - `x.pow(NaN)` is `NaN`
* - `NaN.pow(x)` is `NaN` for `x != 0.0`
* - `x.pow(Inf)` is `NaN` for `abs(x) == 1.0`
* - `x.pow(y)` is `NaN` for `x < 0` and `y` is finite and not an integer
* - `x.pow(0.0)` is `1.0`
* - `x.pow(1.0) == x`
* - `x.pow(NaN)` is `NaN`
* - `NaN.pow(x)` is `NaN` for `x != 0.0`
* - `x.pow(Inf)` is `NaN` for `abs(x) == 1.0`
* - `x.pow(y)` is `NaN` for `x < 0` and `y` is finite and not an integer
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -1049,7 +1035,7 @@ public inline fun Float.IEEErem(other: Float): Float = nativeMath.IEEEremainder(
* Returns the absolute value of this value.
*
* Special cases:
* - `NaN.absoluteValue` is `NaN`
* - `NaN.absoluteValue` is `NaN`
*
* @see abs function
*/
@@ -1059,12 +1045,12 @@ public inline val Float.absoluteValue: Float get() = nativeMath.abs(this)
/**
* Returns the sign of this value:
* - `-1.0` if the value is negative,
* - zero if the value is zero,
* - `1.0` if the value is positive
* - `-1.0` if the value is negative,
* - zero if the value is zero,
* - `1.0` if the value is positive
*
* Special case:
* - `NaN.sign` is `NaN`
* - `NaN.sign` is `NaN`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -1091,9 +1077,9 @@ public inline fun Float.withSign(sign: Int): Float = nativeMath.copySign(this, s
* An ulp is a positive distance between this value and the next nearest [Float] value larger in magnitude.
*
* Special Cases:
* - `NaN.ulp` is `NaN`
* - `x.ulp` is `+Inf` when `x` is `+Inf` or `-Inf`
* - `0.0.ulp` is `Float.NIN_VALUE`
* - `NaN.ulp` is `NaN`
* - `x.ulp` is `+Inf` when `x` is `+Inf` or `-Inf`
* - `0.0.ulp` is `Float.NIN_VALUE`
*/
@SinceKotlin("1.2")
@InlineOnly
@@ -1116,8 +1102,8 @@ public inline fun Float.nextDown(): Float = nativeMath.nextAfter(this, Double.NE
* Returns the [Float] value nearest to this value in direction from this value towards the value [to].
*
* Special cases:
* - `x.nextTowards(y)` is `NaN` if either `x` or `y` are `NaN`
* - `x.nextTowards(x) == x`
* - `x.nextTowards(y)` is `NaN` if either `x` or `y` are `NaN`
* - `x.nextTowards(x) == x`
*
*/
@SinceKotlin("1.2")
@@ -1129,8 +1115,8 @@ public inline fun Float.nextTowards(to: Float): Float = nativeMath.nextAfter(thi
* Ties are rounded towards positive infinity.
*
* Special cases:
* - `x.roundToInt() == Int.MAX_VALUE` when `x > Int.MAX_VALUE`
* - `x.roundToInt() == Int.MIN_VALUE` when `x < Int.MIN_VALUE`
* - `x.roundToInt() == Int.MAX_VALUE` when `x > Int.MAX_VALUE`
* - `x.roundToInt() == Int.MIN_VALUE` when `x < Int.MIN_VALUE`
*
* @throws IllegalArgumentException when this value is `NaN`
*/
@@ -1142,8 +1128,8 @@ public fun Float.roundToInt(): Int = if (isNaN()) throw IllegalArgumentException
* Ties are rounded towards positive infinity.
*
* Special cases:
* - `x.roundToLong() == Long.MAX_VALUE` when `x > Long.MAX_VALUE`
* - `x.roundToLong() == Long.MIN_VALUE` when `x < Long.MIN_VALUE`
* - `x.roundToLong() == Long.MAX_VALUE` when `x > Long.MAX_VALUE`
* - `x.roundToLong() == Long.MIN_VALUE` when `x < Long.MIN_VALUE`
*
* @throws IllegalArgumentException when this value is `NaN`
*/
@@ -1158,7 +1144,7 @@ public fun Float.roundToLong(): Long = toDouble().roundToLong()
* Returns the absolute value of the given value [a].
*
* Special cases:
* - `abs(Int.MIN_VALUE)` is `Int.MIN_VALUE` due to an overflow
* - `abs(Int.MIN_VALUE)` is `Int.MIN_VALUE` due to an overflow
*
* @see absoluteValue extension property for [Int]
*/
@@ -1184,7 +1170,7 @@ public inline fun max(a: Int, b: Int): Int = nativeMath.max(a, b)
* Returns the absolute value of this value.
*
* Special cases:
* - `Int.MIN_VALUE.absoluteValue` is `Int.MIN_VALUE` due to an overflow
* - `Int.MIN_VALUE.absoluteValue` is `Int.MIN_VALUE` due to an overflow
*
* @see abs function
*/
@@ -1194,9 +1180,9 @@ public inline val Int.absoluteValue: Int get() = nativeMath.abs(this)
/**
* Returns the sign of this value:
* - `-1` if the value is negative,
* - `0` if the value is zero,
* - `1` if the value is positive
* - `-1` if the value is negative,
* - `0` if the value is zero,
* - `1` if the value is positive
*/
@SinceKotlin("1.2")
public val Int.sign: Int get() = when {
@@ -1211,7 +1197,7 @@ public val Int.sign: Int get() = when {
* Returns the absolute value of the given value [a].
*
* Special cases:
* - `abs(Long.MIN_VALUE)` is `Long.MIN_VALUE` due to an overflow
* - `abs(Long.MIN_VALUE)` is `Long.MIN_VALUE` due to an overflow
*
* @see absoluteValue extension property for [Long]
*/
@@ -1237,7 +1223,7 @@ public inline fun max(a: Long, b: Long): Long = nativeMath.max(a, b)
* Returns the absolute value of this value.
*
* Special cases:
* - `Long.MIN_VALUE.absoluteValue` is `Long.MIN_VALUE` due to an overflow
* - `Long.MIN_VALUE.absoluteValue` is `Long.MIN_VALUE` due to an overflow
*
* @see abs function
*/
@@ -1247,9 +1233,9 @@ public inline val Long.absoluteValue: Long get() = nativeMath.abs(this)
/**
* Returns the sign of this value:
* - `-1` if the value is negative,
* - `0` if the value is zero,
* - `1` if the value is positive
* - `-1` if the value is negative,
* - `0` if the value is zero,
* - `1` if the value is positive
*/
@SinceKotlin("1.2")
public val Long.sign: Int get() = when {