Float Math API
#KT-4900
This commit is contained in:
Ilya Gorbunov
@@ -27,7 +27,7 @@ public const val PI: Double = 3.141592653589793
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/** Base of the natural logarithms, approximately 2.71828. */
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public const val E: Double = 2.718281828459045
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// Double
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// ================ Double Math ========================================
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/** Computes the sine of the angle [a] given in radians.
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*
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@@ -431,26 +431,394 @@ public fun Double.roundToLong(): Long = when {
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// Float
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// also as extension val [absoluteValue]
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inline fun abs(a: Float): Float = nativeMath.abs(a.toDouble()).toFloat()
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// also as extension val [sign]
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inline fun sgn(a: Float): Float = nativeMath.sign(a.toDouble()).toFloat()
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// ================ Float Math ========================================
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inline fun max(a: Float, b: Float): Float = nativeMath.max(a, b)
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inline fun min(a: Float, b: Float): Float = nativeMath.min(a, b)
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/** Computes the sine of the angle [a] given in radians.
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*
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* Special cases:
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*
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* - `sin(NaN|+Inf|-Inf)` is `NaN`
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*/
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@InlineOnly
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public inline fun sin(a: Float): Float = nativeMath.sin(a.toDouble()).toFloat()
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inline val Float.absoluteValue: Float get() = nativeMath.abs(this.toDouble()).toFloat()
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inline val Float.sign: Float get() = nativeMath.sign(this.toDouble()).toFloat()
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/** Computes the cosine of the angle [a] given in radians.
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*
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* Special cases:
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*
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* - `cos(NaN|+Inf|-Inf)` is `NaN`
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*/
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@InlineOnly
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public inline fun cos(a: Float): Float = nativeMath.cos(a.toDouble()).toFloat()
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// TODO: Reimplement
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inline fun Float.withSign(sign: Float): Float = this.toDouble().withSign(sign.toDouble()).toFloat()
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inline fun Float.withSign(sign: Int): Float = this.toDouble().withSign(sign.toDouble()).toFloat()
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/** Computes the tangent of the angle [a] given in radians.
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*
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* Special cases:
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*
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* - `tan(NaN|+Inf|-Inf)` is `NaN`
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*/
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@InlineOnly
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public inline fun tan(a: Float): Float = nativeMath.tan(a.toDouble()).toFloat()
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/**
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* Computes the arc sine of the value [a];
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* the returned value is an angle in the range from `-PI/2` to `PI/2` radians.
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*
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* Special cases:
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* - `asin(v)` is `NaN`, when `abs(v) > 1` or v is `NaN`
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*/
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@InlineOnly
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public inline fun asin(a: Float): Float = nativeMath.asin(a.toDouble()).toFloat()
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/**
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* Computes the arc cosine of the value [a];
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* the returned value is an angle in the range from `0.0` to `PI` radians.
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*
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* Special cases:
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* - `acos(v)` is `NaN`, when `abs(v) > 1` or v is `NaN`
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*/
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@InlineOnly
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public inline fun acos(a: Float): Float = nativeMath.acos(a.toDouble()).toFloat()
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/**
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* Computes the arc tangent of the value [a];
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* the returned value is an angle in the range from `-PI/2` to `PI/2` radians.
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*
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* Special cases:
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* - `atan(NaN)` is `NaN`
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*/
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@InlineOnly
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public inline fun atan(a: Float): Float = nativeMath.atan(a.toDouble()).toFloat()
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/**
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* Returns the angle `theta` of the polar coordinates `(r, theta)` that correspond
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* to the rectangular coordinates `(x, y)` by computing the arc tangent of the value [y] / [x];
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* the returned value is an angle in the range from `-PI` to `PI` radians.
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*
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* Special cases:
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* - `atan2(0.0, 0.0)` is `0.0`
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* - `atan2(0.0, x)` is `0.0` for `x > 0` and `PI` for `x < 0`
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* - `atan2(-0.0, x)` is `-0.0` for 'x > 0` and `-PI` for `x < 0`
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* - `atan2(y, +Inf)` is `0.0` for `0 < y < +Inf` and `-0.0` for '-Inf < y < 0`
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* - `atan2(y, -Inf)` is `PI` for `0 < y < +Inf` and `-PI` for `-Inf < y < 0`
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* - `atan2(y, 0.0)` is `PI/2` for `y > 0` and `-PI/2` for `y < 0`
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* - `atan2(+Inf, x)` is `PI/2` for finite `x`y
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* - `atan2(-Inf, x)` is `-PI/2` for finite `x`
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* - `atan2(NaN, x)` and `atan2(y, NaN)` is `NaN`
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*/
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@InlineOnly
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public inline fun atan2(y: Float, x: Float): Float = nativeMath.atan2(y.toDouble(), x.toDouble()).toFloat()
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/**
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* Computes the hyperbolic sine of the value [a].
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*
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* Special cases:
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*
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* - `sinh(NaN)` is `NaN`
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* - `sinh(+Inf)` is `+Inf`
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* - `sinh(-Inf)` is `-Inf`
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*/
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@InlineOnly
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public inline fun sinh(a: Float): Float = nativeMath.sinh(a.toDouble()).toFloat()
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/**
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* Computes the hyperbolic cosine of the value [a].
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*
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* Special cases:
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*
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* - `cosh(NaN)` is `NaN`
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* - `cosh(+Inf|-Inf)` is `+Inf`
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*/
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@InlineOnly
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public inline fun cosh(a: Float): Float = nativeMath.cosh(a.toDouble()).toFloat()
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/**
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* Computes the hyperbolic tangent of the value [a].
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*
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* Special cases:
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*
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* - `tanh(NaN)` is `NaN`
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* - `tanh(+Inf)` is `1.0`
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* - `tanh(-Inf)` is `-1.0`
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*/
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@InlineOnly
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public inline fun tanh(a: Float): Float = nativeMath.tanh(a.toDouble()).toFloat()
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/**
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* Computes `sqrt(x^2 + y^2)` without intermediate overflow or underflow.
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*
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* Special cases:
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* - returns `+Inf` if any of arguments is infinite
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* - returns `NaN` if any of arguments is `NaN` and the other is not infinite
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*/
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@InlineOnly
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public inline fun hypot(x: Float, y: Float): Float = nativeMath.hypot(x.toDouble(), y.toDouble()).toFloat()
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/**
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* Computes the positive square root of the value [a].
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*
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* Special cases:
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* - `sqrt(x)` is `NaN` when `x < 0` or `x` is `NaN`
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*/
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@InlineOnly
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public inline fun sqrt(a: Float): Float = nativeMath.sqrt(a.toDouble()).toFloat()
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/**
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* Computes Euler's number `e` raised to the power of the value [a].
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*
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* Special cases:
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* - `exp(NaN)` is `NaN`
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* - `exp(+Inf)` is `+Inf`
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* - `exp(-Inf)` is `0.0`
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*/
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@InlineOnly
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public inline fun exp(a: Float): Float = nativeMath.exp(a.toDouble()).toFloat()
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/**
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* Computes `exp(a) - 1`.
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*
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* This function can be implemented to produce more precise result for [a] near zero.
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*
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* Special cases:
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* - `expm1(NaN)` is `NaN`
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* - `expm1(+Inf)` is `+Inf`
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* - `expm1(-Inf)` is `-1.0`
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*
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* @see [exp] function.
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*/
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@InlineOnly
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public inline fun expm1(a: Float): Float = nativeMath.expm1(a.toDouble()).toFloat()
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/**
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* Computes the logarithm in the given [base] of the [a] value.
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*
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* Special cases:
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* - `log(a, b)` is `NaN` if either `a` or `b` are `NaN`
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* - `log(a, b)` is `NaN` when `a < 0` or `b <= 0` or `b == 1.0`
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* - `log(+Inf, +Inf)` is `NaN`
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* - `log(+Inf, b)` is `+Inf` for `b > 1` and `-Inf` for `b < 1`
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* - `log(0.0, b)` is `-Inf` for `b > 1` and `+Inf` for `b > 1`
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*/
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@InlineOnly
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public inline fun log(a: Float, base: Float): Float = log(a.toDouble(), base.toDouble()).toFloat()
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/**
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* Computes the natural logarithm (base `E`) of the [a] value.
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*
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* Special cases:
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* - `ln(NaN)` is `NaN`
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* - `ln(x)` is `NaN` when `x < 0.0`
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* - `ln(+Inf)` is `+Inf`
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* - `ln(0.0)` is `-Inf`
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*/
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@InlineOnly
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public inline fun ln(a: Float): Float = nativeMath.log(a.toDouble()).toFloat()
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/**
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* Computes the decimal logarithm (base 10) of the [a] value.
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*
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* @see [ln] function for special cases.
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*/
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@InlineOnly
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public inline fun log10(a: Float): Float = nativeMath.log10(a.toDouble()).toFloat()
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/**
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* Computes the binary logarithm (base 2) of the [a] value.
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*
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* @see [ln] function for special cases.
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*/
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@InlineOnly
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public inline fun log2(a: Float): Float = nativeMath.log2(a.toDouble()).toFloat()
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/**
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* Computes `log(a + 1)`.
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*
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* This function can be implemented to produce more precise result for [a] near zero.
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*
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* Special cases:
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* - `log1p(NaN)` is `NaN`
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* - `log1p(x)` is `NaN` where `x < -1.0`
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* - `log1p(-1.0)` is `-Inf`
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* - `log1p(+Inf)` is `+Inf`
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*
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* @see [ln] function
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* @see [expm1] function
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*/
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@InlineOnly
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public inline fun ln1p(a: Float): Float = nativeMath.log1p(a.toDouble()).toFloat()
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/**
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* Rounds the given value [a] to an integer towards positive infinity.
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* @return the smallest Float value that is greater than the given value [a] and is a mathematical integer.
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*
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* Special cases:
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* - `ceil(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
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*/
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@InlineOnly
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public inline fun ceil(a: Float): Float = nativeMath.ceil(a.toDouble()).toFloat()
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/**
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* Rounds the given value [a] to an integer towards negative infinity.
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* @return the largest Float value that is smaller than the given value [a] and is a mathematical integer.
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*
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* Special cases:
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* - `floor(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
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*/
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@InlineOnly
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public inline fun floor(a: Float): Float = nativeMath.floor(a.toDouble()).toFloat()
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/**
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* Rounds the given value [a] to an integer towards zero.
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*
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* @return the value [a] having its fractional part truncated.
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*
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* Special cases:
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* - `truncate(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
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*/
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@InlineOnly
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public inline fun truncate(a: Float): Float = truncate(a.toDouble()).toFloat()
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/**
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* Rounds the given value [a] towards the closest integer with ties rounded towards even integer.
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*
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* Special cases:
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* - `round(x)` is `x` where `x` is `NaN` or `+Inf` or `-Inf` or already a mathematical integer.
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*/
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@InlineOnly
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public inline fun round(a: Float): Float = round(a.toDouble()).toFloat()
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fun Float.roundToInt(): Int = toDouble().roundToInt()
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fun Float.roundToLong(): Long = toDouble().roundToLong()
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/**
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* Returns the absolute value of the given value [a].
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*
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* Special cases:
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* - `abs(NaN)` is `NaN`
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*
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* @see absoluteValue extension property for [Float]
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*/
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@InlineOnly
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public inline fun abs(a: Float): Float = nativeMath.abs(a.toDouble()).toFloat()
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/**
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* Returns the sign of the given value [a]:
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* - `-1.0` if the value is negative,
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* - zero if the value is zero,
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* - `1.0` if the value is positive
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*
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* Special case:
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* - `sign(NaN)` is `NaN`
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*/
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@InlineOnly
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public inline fun sign(a: Float): Float = nativeMath.sign(a.toDouble()).toFloat()
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/**
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* Returns the smaller of two values.
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*
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* If either value is `NaN`, then the result is `NaN`.
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*/
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@InlineOnly
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public inline fun min(a: Float, b: Float): Float = nativeMath.min(a, b)
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/**
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* Returns the greater of two values.
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*
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* If either value is `NaN`, then the result is `NaN`.
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*/
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@InlineOnly
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public inline fun max(a: Float, b: Float): Float = nativeMath.max(a, b)
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// extensions
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/**
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* Raises this value to the power [other].
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*
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* Special cases:
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* - `x.pow(0.0)` is `1.0`
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* - `x.pow(1.0) == x`
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* - `x.pow(NaN)` is `NaN`
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* - `NaN.pow(x)` is `NaN` for `x != 0.0`
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* - `x.pow(Inf)` is `NaN` for `abs(x) == 1.0`
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* - `x.pow(y)` is `NaN` for `x < 0` and `y` is finite and not an integer
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*/
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@InlineOnly
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public inline fun Float.pow(other: Float): Float = nativeMath.pow(this.toDouble(), other.toDouble()).toFloat()
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/**
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* Raises this value to the integer power [other].
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*
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* See the other overload of [pow] for details.
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*/
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@InlineOnly
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public inline fun Float.pow(other: Int): Float = nativeMath.pow(this.toDouble(), other.toDouble()).toFloat()
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/**
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* Returns the absolute value of this value.
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*
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* Special cases:
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* - `NaN.absoluteValue` is `NaN`
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*
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* @see abs function
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*/
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@InlineOnly
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public inline val Float.absoluteValue: Float get() = nativeMath.abs(this.toDouble()).toFloat()
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/**
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* Returns the sign of this value:
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* - `-1.0` if the value is negative,
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* - zero if the value is zero,
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* - `1.0` if the value is positive
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*
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* Special case:
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* - `NaN.sign` is `NaN`
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*/
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@InlineOnly
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public inline val Float.sign: Float get() = nativeMath.sign(this.toDouble()).toFloat()
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/**
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* Returns this value with the sign bit same as of the [sign] value.
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*
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* If [sign] is `NaN` the sign of the result is undefined.
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*/
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@InlineOnly
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public inline fun Float.withSign(sign: Float): Float = this.toDouble().withSign(sign.toDouble()).toFloat()
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/**
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* Returns this value with the sign bit same as of the [sign] value.
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*/
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@InlineOnly
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public inline fun Float.withSign(sign: Int): Float = this.toDouble().withSign(sign.toDouble()).toFloat()
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/**
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* Rounds this [Float] value to the nearest integer and converts the result to [Int].
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* Ties are rounded towards positive infinity.
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*
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* Special cases:
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* - `x.roundToInt() == Int.MAX_VALUE` when `x > Int.MAX_VALUE`
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* - `x.roundToInt() == Int.MIN_VALUE` when `x < Int.MIN_VALUE`
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*
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* @throws IllegalArgumentException when this value is `NaN`
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*/
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@InlineOnly
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public inline fun Float.roundToInt(): Int = toDouble().roundToInt()
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/**
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* Rounds this [Float] value to the nearest integer and converts the result to [Long].
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* Ties are rounded towards positive infinity.
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*
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* Special cases:
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* - `x.roundToLong() == Long.MAX_VALUE` when `x > Long.MAX_VALUE`
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* - `x.roundToLong() == Long.MIN_VALUE` when `x < Long.MIN_VALUE`
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*
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* @throws IllegalArgumentException when this value is `NaN`
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*/
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@InlineOnly
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public inline fun Float.roundToLong(): Long = toDouble().roundToLong()
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// Int
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