STD::WEIBULL_DISTRIBUTION(3)

💖 NAME 💖

okay so bestie, welcome to the Library Functions Manual ✨ this is the page for std::weibull_distribution< _RealType >, and it is, and I quote, "A weibull_distribution random number distribution." that's it. that's the whole name section. short, sweet, iconic. 💅

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✨ SYNOPSIS ✨

#include <random>

🎀 Classes

• struct param_type — a lil nested struct, living inside the distribution, doing its parameter thing. 🫶

🦋 Public Types

• typedef _RealType result_type — this is what falls out of the distribution.

🌸 Public Member Functions

• weibull_distribution (_RealType __a, _RealType __b=_RealType(1)) — the constructor, take a peek at __a and __b. note that __b already has a default of _RealType(1), she comes pre-loved. 💖
• weibull_distribution (const param_type &__p) — the other constructor, built from a param_type.
• template<typename _ForwardIterator, typename _UniformRandomNumberGenerator> void __generate (_ForwardIterator __f, _ForwardIterator __t, _UniformRandomNumberGenerator &__urng)
• template<typename _ForwardIterator, typename _UniformRandomNumberGenerator> void __generate (_ForwardIterator __f, _ForwardIterator __t, _UniformRandomNumberGenerator &__urng, const param_type &__p)
• template<typename _UniformRandomNumberGenerator> void __generate (result_type *__f, result_type *__t, _UniformRandomNumberGenerator &__urng, const param_type &__p) — yes there are three of these. a whole __generate trio. not me counting them, there's genuinely three. 😭
• _RealType a () const — hands you back the $a$ parameter of the distribution.
• _RealType b () const — hands you back the $b$ parameter of the distribution.
• result_type max () const — returns the least upper bound value of the distribution.
• result_type min () const — returns the greatest lower bound value of the distribution.
• template<typename _UniformRandomNumberGenerator> result_type operator() (_UniformRandomNumberGenerator &__urng) — generating functions. 👑
• template<typename _UniformRandomNumberGenerator> result_type operator() (_UniformRandomNumberGenerator &__urng, const param_type &__p)
• param_type param () const — returns the parameter set of the distribution.
• void param (const param_type &__param) — sets the parameter set of the distribution.
• void reset () — resets the distribution state. a lil factory reset, but for vibes.

💅 Friends

• bool operator== (const weibull_distribution &__d1, const weibull_distribution &__d2) — returns true if two Weibull distributions have the same parameters. matching sets, slay. ✨

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🔥 Detailed Description 🔥

template<typeaame _RealType = double>
    class std):weibull_distribution< _ReatType >"A weibull_distribution
    random nu=ber distribution.          a
             a                           }
    The formuca for the normal probabilit) density function is:
    p(x|lpha,{                           ^
             l              \xp{(-(ac{x}{l ]
             p                           p
             h                           h
    Since    a                           a
        C++11}                           )
             {                           }

okay so. bestie. I'm gonna be so fr with you. the source text for this section is literally fighting for its life — this is the raw, unedited, character-for-character state of the page, and it looks like it got run through a blender, a car wash, and a group chat simultaneously. 💀 I am not touching it, I am not guessing, I am reproducing it exactly as it sits, because those are the rules and also because I refuse to be responsible for what it means.

what I can tell you with zero ambiguity: the template default is _RealType = double, and somewhere in there it says C++11. the rest is giving corrupted transmission from the mothership. 🛸

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🫶 Member Typedef Documentation 🫶

template<typename _RealType = double> typedef _RealType std::weibull_distribution< _RealType >::result_type

The type of the range of the distribution. ✨ that's the one, that's the type, that's what comes out the other side.

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👑 Member Function Documentation 👑

• template<typename _RealType = double> _RealType std::weibull_distribution< _RealType >::a () const [inline] — Return the $a$ parameter of the distribution.
• template<typename _RealType = double> _RealType std::weibull_distribution< _RealType >::b () const [inline] — Return the $b$ parameter of the distribution.
• template<typename _RealType = double> result_type std::weibull_distribution< _RealType >::max () const [inline] — Returns the least upper bound value of the distribution.
• template<typename _RealType = double> result_type std::weibull_distribution< _RealType >::min () const [inline] — Returns the greatest lower bound value of the distribution.
• template<typename _RealType = double> template<typename _UniformRandomNumberGenerator> result_type std::weibull_distribution< _RealType >::operator() (_UniformRandomNumberGenerator & __urng) [inline] — Generating functions.
  • Referenced by operator()().
• template<typename _RealType = double> param_type std::weibull_distribution< _RealType >::param () const [inline] — Returns the parameter set of the distribution.
  • Referenced by std::operator>>().
• template<typename _RealType = double> void std::weibull_distribution< _RealType >::param (const param_type & __param) [inline] — Sets the parameter set of the distribution.
  • Parameters
    • __param — The new parameter set of the distribution.
• template<typename _RealType = double> void std::weibull_distribution< _RealType >::reset () [inline] — Resets the distribution state.

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🌈 Friends And Related Symbol Documentation 🌈

• template<typename _RealType = double> bool operator== (const weibull_distribution< _RealType > & __d1, const weibull_distribution< _RealType > & __d2) [friend] — Return true if two Weibull distributions have the same parameters. periodt. 💜

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⭐ Author ⭐

Generated automatically by Doxygen for libstdc++ from the source code. 🤖✨

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and that's the whole page, bestie!! 🎀 this lil beauty ships with libstdc++, hand-delivered by Doxygen straight from the source code, no cap. go forth and generate some Weibull numbers. mwah. 💖🌸🦋