【辅助】随机数拓展

LBQ

其实说是拓展实际上就增加了几个方法，VA里面可以带战斗公式里面用。

说明在脚本里面我认为说的够清楚了

然后这样你可以在VA的公式里面写：(a.atk * 4 - b.def * 2) * Rd.gauss(1,0.2)
这样就会生成正态分布的伤害

RUBY 代码复制

#encoding:utf-8
#==============================================================================
# ■ Rand Formulas
#------------------------------------------------------------------------------
# 　Provides additional random methods, mainly for battle formulas
#==============================================================================
# ● Rd.gauss(mean : Number, stddev : Number)
#    生成高斯分布的一个随机数（貌似是正态分布或者类似），第一个参数是平均值，第二个参数是方差
#    Generates a random gaussian distributed number.
#    Eg. Rd.gauss(1,0.1)
#==============================================================================
# ● Rd.percentage
#    返回一个1~100的数值
#    Returns a value between 1 and 100
#==============================================================================
# ● Rd.between(min : Number, max : Number)
#    平均分布的随机数，位于min与max之间。
#    Generates a equally distributed random number between min and max.
#==============================================================================
# ● Rd.betweenP(min : Number, max : Number)
#    平均分布的随机数，位于min/100与max/100之间
#    Generates a equally distributed random number between min/100 and max/100
#==============================================================================
 
=begin
This is free and unencumbered software released into the public domain.
 
Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any
means.
 
In jurisdictions that recognize copyright laws, the author or authors
of this software dedicate any and all copyright interest in the
software to the public domain. We make this dedication for the benefit
of the public at large and to the detriment of our heirs and
successors. We intend this dedication to be an overt act of
relinquishment in perpetuity of all present and future rights to this
software under copyright law.
 
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR
OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
OTHER DEALINGS IN THE SOFTWARE.
 
For more information, please refer to <[url]http://unlicense.org/[/url]>
=end
 
 
class RandomGaussian
  def initialize(mean, stddev, rand_helper = lambda { Kernel.rand })
    @rand_helper = rand_helper
    @mean = mean
    @stddev = stddev
    @valid = false
    @next = 0
  end
 
  def rand
    if @valid then
      @valid = false
      return @next
    else
      @valid = true
      x, y = self.class.gaussian(@mean, @stddev, @rand_helper)
      @next = y
      return x
    end
  end
 
  private
  def self.gaussian(mean, stddev, rand)
    theta = 2 * Math::PI * rand.call
    rho = Math.sqrt(-2 * Math.log(1 - rand.call))
    scale = stddev * rho
    x = mean + scale * Math.cos(theta)
    y = mean + scale * Math.sin(theta)
    return x, y
  end
end
 
#[url]http://stackoverflow.com/questions/5825680/code-to-generate-gaussian-normally-distributed-random-numbers-in-ruby[/url]
module Rd
  class << self
    # Number -> Number -> Number
    def gauss mean, stddev
      g = RandomGaussian.new(mean, stddev)
      return g.rand
    end
 
    # Unit -> Number
    def percentage
      return Random.new.rand(1..100)
    end
 
    # Number -> Number -> Number
    def between a, b
      return Random.new.rand(a..b)
    end
 
    # Number -> Number -> Number
    def betweenP a, b
      return between(a,b) / 100.0
    end
  end
end

#encoding:utf-8


#==============================================================================


# ■ Rand Formulas


#------------------------------------------------------------------------------


# 　Provides additional random methods, mainly for battle formulas


#==============================================================================


# ● Rd.gauss(mean : Number, stddev : Number)


#    生成高斯分布的一个随机数（貌似是正态分布或者类似），第一个参数是平均值，第二个参数是方差


#    Generates a random gaussian distributed number.


#    Eg. Rd.gauss(1,0.1)


#==============================================================================


# ● Rd.percentage


#    返回一个1~100的数值


#    Returns a value between 1 and 100


#==============================================================================


# ● Rd.between(min : Number, max : Number)


#    平均分布的随机数，位于min与max之间。


#    Generates a equally distributed random number between min and max.


#==============================================================================


# ● Rd.betweenP(min : Number, max : Number)


#    平均分布的随机数，位于min/100与max/100之间


#    Generates a equally distributed random number between min/100 and max/100


#==============================================================================


 


=begin


This is free and unencumbered software released into the public domain.


 


Anyone is free to copy, modify, publish, use, compile, sell, or


distribute this software, either in source code form or as a compiled


binary, for any purpose, commercial or non-commercial, and by any


means.


 


In jurisdictions that recognize copyright laws, the author or authors


of this software dedicate any and all copyright interest in the


software to the public domain. We make this dedication for the benefit


of the public at large and to the detriment of our heirs and


successors. We intend this dedication to be an overt act of


relinquishment in perpetuity of all present and future rights to this


software under copyright law.


 


THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,


EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF


MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.


IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR


OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,


ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR


OTHER DEALINGS IN THE SOFTWARE.


 


For more information, please refer to <[url]http://unlicense.org/[/url]>


=end


 


 


class RandomGaussian


  def initialize(mean, stddev, rand_helper = lambda { Kernel.rand })


    @rand_helper = rand_helper


    @mean = mean


    @stddev = stddev


    @valid = false


    @next = 0


  end


 


  def rand


    if @valid then


      @valid = false


      return @next


    else


      @valid = true


      x, y = self.class.gaussian(@mean, @stddev, @rand_helper)


      @next = y


      return x


    end


  end


 


  private


  def self.gaussian(mean, stddev, rand)


    theta = 2 * Math::PI * rand.call


    rho = Math.sqrt(-2 * Math.log(1 - rand.call))


    scale = stddev * rho


    x = mean + scale * Math.cos(theta)


    y = mean + scale * Math.sin(theta)


    return x, y


  end


end


 


#[url]http://stackoverflow.com/questions/5825680/code-to-generate-gaussian-normally-distributed-random-numbers-in-ruby[/url]


module Rd


  class << self


    # Number -> Number -> Number


    def gauss mean, stddev


      g = RandomGaussian.new(mean, stddev)


      return g.rand


    end


 


    # Unit -> Number


    def percentage


      return Random.new.rand(1..100)


    end


 


    # Number -> Number -> Number


    def between a, b


      return Random.new.rand(a..b)


    end


 


    # Number -> Number -> Number


    def betweenP a, b


      return between(a,b) / 100.0


    end


  end


end

刺夜之枪

如果我游戏用很多搞死的话，会不会卡呢

chd114

为啥你发的脚本却用英文做注释呢···

RyanBern

附上友情链接：
https://rpg.blue/forum.php?mod=viewthread&tid=375705
本帖采用Box-Muller方法实现正态分布，而链接中的帖子叙述了此方法的原理。