【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

[pre lang="ruby"]#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
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In jurisdictions that recognize copyright laws, the author or authors
of this software dedicate any and all copyright interest in the
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EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
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For more information, please refer to <http://unlicense.org/>
=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

#http://stackoverflow.com/questio ... dom-numbers-in-ruby
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



[/pre]

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。

chd114

为啥你发的脚本却用英文做注释呢···

刺夜之枪

如果我游戏用很多搞死的话，会不会卡呢