Path-based goodness: Difference between revisions

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#* <code>inaccuracy_fondness</code> = 0.98,  
#* <code>inaccuracy_fondness</code> = 0.98,  
#* <code>target_score</code> = 0.002.
#* <code>target_score</code> = 0.002.
# Let ''g'' be a variable. Assign to every JI interval (except 1/1) n/d with error e (in cents) a score equal to <code>inaccuracy_fondness</code>^(e^<code>error_power</code></code>) * <code>complexity_fondness</code>^(n+d) / ''g''.
# Let ''g'' be a variable. Assign to every JI interval (except 1/1) n/d with error r (in cents) a score equal to <code>inaccuracy_fondness</code>^(r^<code>error_power</code></code>) * <code>complexity_fondness</code>^(n+d) / ''g''.
# Assign to every ordered list of JI intervals a score equal to the product of the scores of all of its steps.
# Assign to every ordered list of JI intervals a score equal to the product of the scores of all of its steps.
# Assign to every temperament with tuning a score equal to the sum of the scores of all the ordered lists that yield a comma when the intervals are stacked.
# Assign to every temperament with tuning a score equal to the sum of the scores of all the ordered lists that yield a comma when the intervals are stacked.