Class: Dice_Stats::Dice_Set
- Inherits:
-
Object
- Object
- Dice_Stats::Dice_Set
- Defined in:
- lib/Dice_Set.rb
Overview
This class represents the roll statistics for a combination of dice. The probability distribution is based off the constituent dice distributions.
Instance Attribute Summary collapse
-
#dice ⇒ Object
The constituent separate dice.
-
#probability_distribution ⇒ Object
readonly
The raw probability distribution of the dice set.
Class Method Summary collapse
-
.Get_Clean_String(dice_string, with_constant = true) ⇒ Object
Returns the “clean string” for a dice pattern without actually instantiating the class, calculating the probability, etc.
Instance Method Summary collapse
-
#adjusted_distribution ⇒ Object
Add the constant the the probability distribution, useful for printing / output purposes.
-
#clean_string(with_constant = true) ⇒ Object
Returns the dice string used to generate the pattern sorted by dice face, descending.
-
#combine_probability_distributions ⇒ Object
For internal use only.
-
#expected ⇒ Object
Returns the average roll result.
-
#initialize(dice_string, probability_distribution = nil) ⇒ Dice_Set
constructor
Instantiates a new Dice_Set with the specified
dice_stringpattern. -
#max ⇒ Object
Returns the highest possible roll.
-
#min ⇒ Object
Returns the lowest possible roll.
-
#p ⇒ Object
Instantiates and returns a Filtered_distribution.
-
#print_probability ⇒ Object
Displays the probability distribution.
-
#roll ⇒ Object
Simulates a roll of the dice.
-
#standard_deviation ⇒ Object
Returns the standard deviation of the roll.
-
#too_complex? ⇒ Boolean
If the probability distribution was determined to be too complex to compute this will return true.
-
#variance ⇒ Object
Returns the variance of the roll.
Constructor Details
#initialize(dice_string, probability_distribution = nil) ⇒ Dice_Set
Instantiates a new Dice_Set with the specified dice_string pattern. Examples: “2d6 + 1d3” “2d6 + 5” “1d8” “5d4 + 3d10” If probability_distribution is set, no distributions will be calculated and the provided distribution will be used.
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# File 'lib/Dice_Set.rb', line 64 def initialize(dice_string, probability_distribution=nil) # Reject any predefined probability distributions that don't sum to 1.0. # Perhaps in the future I should add slightly better checks, but this is adequate for now. if probability_distribution != nil && (probability_distribution.inject(0) { |memo,(k,v)| memo + v }.round(3).to_f != 1.0) probability_distribution = nil end @dice = [] @constant = 0 @input_string = dice_string @aborted_probability_distribution = false split_string = dice_string.split('+') split_string.map!{|i| i.strip } split_string.count.times { |i| if /\d+[dD]\d+/.match(split_string[i]) sub_string_split = split_string[i].downcase.split('d') # Skip calculating the sub-die distribution if the total one is already cached number_of_dice = sub_string_split[0].to_i dice_faces = sub_string_split[1].to_i calculate_probability = (probability_distribution == nil) && (number_of_dice * dice_faces <= 1000) if (number_of_dice * dice_faces > 1000) @aborted_probability_distribution = true end @dice << Dice.new(number_of_dice, dice_faces, calculate_probability) elsif (split_string[i].to_i > 0) @constant += split_string[i].to_i else puts "Unexpected paramter: #{split_string[0]}" end } @dice.sort! { |d1,d2| d2.sides <=> d1.sides } if probability_distribution != nil @probability_distribution = probability_distribution else if @aborted_probability_distribution || (100_000 < @dice.inject(1) { |m,d| m * (d.sides * d.count) }) @probability_distribution = {} @aborted_probability_distribution = true else @probability_distribution = combine_probability_distributions end end if (@probability_distribution.inject(0) { |memo,(k,v)| memo + v }.round(3).to_f != 1.0) #puts "Error in probability distrubtion." end end |
Instance Attribute Details
#dice ⇒ Object
The constituent separate dice
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# File 'lib/Dice_Set.rb', line 18 def dice @dice end |
#probability_distribution ⇒ Object (readonly)
The raw probability distribution of the dice set. Can be queried more interactively through Dice_Set#p.
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# File 'lib/Dice_Set.rb', line 14 def probability_distribution @probability_distribution end |
Class Method Details
.Get_Clean_String(dice_string, with_constant = true) ⇒ Object
Returns the “clean string” for a dice pattern without actually instantiating the class, calculating the probability, etc. Good to use to check a cache hit if results are being cached
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# File 'lib/Dice_Set.rb', line 23 def self.Get_Clean_String(dice_string, with_constant=true) dice = [] constant = 0 split_string = dice_string.split('+') split_string.map!{|i| i.strip } split_string.count.times { |i| if /\d+[dD]\d+/.match(split_string[i]) sub_string_split = split_string[i].downcase.split('d') dice << Dice.new(sub_string_split[0].to_i, sub_string_split[1].to_i, false) elsif (split_string[i].to_i > 0) constant += split_string[i].to_i else puts "Unexpected paramter: #{split_string[0]}" end } dice.sort! { |d1,d2| d2.sides <=> d1.sides } formatted_string = "" dice.each { |d| formatted_string += d.count.to_s + "d" + d.sides.to_s + " + " } if with_constant && constant > 0 return (formatted_string + constant.to_s) else return (formatted_string[0..formatted_string.length-4]) end end |
Instance Method Details
#adjusted_distribution ⇒ Object
Add the constant the the probability distribution, useful for printing / output purposes
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# File 'lib/Dice_Set.rb', line 203 def adjusted_distribution @probability_distribution.inject(Hash.new) { |m,(k,v)| m[k+@constant] = v; m } end |
#clean_string(with_constant = true) ⇒ Object
Returns the dice string used to generate the pattern sorted by dice face, descending. For example “2d3 + 2 + 1d6” would become “1d6 + 2d3 + 2” If with_constant is set to false, the constant “+ 2” will be ommitted.
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# File 'lib/Dice_Set.rb', line 163 def clean_string(with_constant=true) formatted_string = "" @dice.each { |d| formatted_string += d.count.to_s + "d" + d.sides.to_s + " + " } if with_constant && @constant > 0 formatted_string + @constant.to_s else formatted_string[0..formatted_string.length-4] end end |
#combine_probability_distributions ⇒ Object
For internal use only. Takes the cartesian product of the individual dice and combines them.
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# File 'lib/Dice_Set.rb', line 154 def combine_probability_distributions separate_distributions = @dice.map { |d| d.probability_distribution } Internal_Utilities::Math_Utilities.Cartesian_Product_For_Probabilities(separate_distributions) end |
#expected ⇒ Object
Returns the average roll result
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# File 'lib/Dice_Set.rb', line 135 def expected @dice.inject(0) { |memo, d| memo + d.expected }.to_f + @constant end |
#max ⇒ Object
Returns the highest possible roll
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# File 'lib/Dice_Set.rb', line 123 def max @dice.inject(0) { |memo, d| memo + d.max }.to_i + @constant end |
#min ⇒ Object
Returns the lowest possible roll
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# File 'lib/Dice_Set.rb', line 129 def min @dice.inject(0) { |memo, d| memo + d.min }.to_i + @constant end |
#p ⇒ Object
Instantiates and returns a Filtered_distribution. See the documentation for Filtered_distribution.rb.
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# File 'lib/Dice_Set.rb', line 190 def p filtered_distribution = Internal_Utilities::Filtered_distribution.new(adjusted_distribution) return filtered_distribution end |
#print_probability ⇒ Object
Displays the probability distribution. Can take up quite a lot of screen space for the mroe complicated rolls.
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# File 'lib/Dice_Set.rb', line 178 def print_probability @probability_distribution.each { |k,v| puts "p(#{k}) => #{v.round(8).to_f}"} end |
#roll ⇒ Object
Simulates a roll of the dice
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# File 'lib/Dice_Set.rb', line 184 def roll @dice.inject(@constant || 0) { |memo,d| memo + d.roll } end |
#standard_deviation ⇒ Object
Returns the standard deviation of the roll
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# File 'lib/Dice_Set.rb', line 147 def standard_deviation BigDecimal.new(variance, 10).sqrt(5).round(10).to_f end |
#too_complex? ⇒ Boolean
If the probability distribution was determined to be too complex to compute this will return true.
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# File 'lib/Dice_Set.rb', line 197 def too_complex? @aborted_probability_distribution end |
#variance ⇒ Object
Returns the variance of the roll
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# File 'lib/Dice_Set.rb', line 141 def variance @probability_distribution.inject(0) { |memo, (key,val)| memo + ((key - (expected - @constant))**2 * val) }.round(10).to_f end |