Path-based goodness: Difference between revisions

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# 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''.

# 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 ~~paths~~ 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.

# Assign to every temperament with tuning a ''goodness'' equal to the value ''g'' such that the score is equal to the target_score.

# Assign to every temperament a ''goodness'' equal to the largest goodness of that temperament across all generator tunings. In this way, path-based goodness also provides optimal tunings for temperaments.

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 # 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''.
 # 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 paths 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.
 # Assign to every temperament with tuning a ''goodness'' equal to the value ''g'' such that the score is equal to the target_score.
 # Assign to every temperament a ''goodness'' equal to the largest goodness of that temperament across all generator tunings. In this way, path-based goodness also provides optimal tunings for temperaments.