DoxigAlpha

floatNorm

Return a floating point value normally distributed with mean = 0, stddev = 1.

To use different parameters, use: floatNorm(...) * desiredStddev + desiredMean.

Function parameters

Parameters

#
T:type

Fast unbiased random numbers.

Types

#
DefaultPrng
Fast unbiased random numbers.
DefaultCsprng
Cryptographically secure random numbers.

Functions in this namespace

Functions

#
bytes
Read random bytes into the specified buffer until full.
enumValue
Returns a random value from an enum, evenly distributed.
enumValueWithIndex
Returns a random value from an enum, evenly distributed.
int
Returns a random int `i` such that `minInt(T) <= i <= maxInt(T)`.
uintLessThanBiased
Constant-time implementation off `uintLessThan`.
uintLessThan
Returns an evenly distributed random unsigned integer `0 <= i < less_than`.
uintAtMostBiased
Constant-time implementation off `uintAtMost`.
uintAtMost
Returns an evenly distributed random unsigned integer `0 <= i <= at_most`.
intRangeLessThanBiased
Constant-time implementation off `intRangeLessThan`.
intRangeLessThan
Returns an evenly distributed random integer `at_least <= i < less_than`.
intRangeAtMostBiased
Constant-time implementation off `intRangeAtMostBiased`.
intRangeAtMost
Returns an evenly distributed random integer `at_least <= i <= at_most`.
float
Return a floating point value evenly distributed in the range [0, 1).
floatNorm
Return a floating point value normally distributed with mean = 0, stddev = 1.
floatExp
Return an exponentially distributed float with a rate parameter of 1.
shuffle
Shuffle a slice into a random order.
shuffleWithIndex
Shuffle a slice into a random order, using an index of a
weightedIndex
Randomly selects an index into `proportions`, where the likelihood of each
limitRangeBiased
Convert a random integer 0 <= random_int <= maxValue(T),

Source

Implementation

#
pub fn floatNorm(r: Random, comptime T: type) T {
    const value = ziggurat.next_f64(r, ziggurat.NormDist);
    switch (T) {
        f32 => return @floatCast(value),
        f64 => return value,
        else => @compileError("unknown floating point type"),
    }
}