B >?ð[kã@s2ddlmZdd„Zdd„Zdd„Zd d d „Zd S) é)Údivisionc csRt|ƒ}t|ƒ}x<|D]4}y|||||fVWqtk rHYqXqWdS)z¸Finds the difference between the values in ranks1 and ranks2 for keys present in both dicts. If the arguments are not dicts, they are converted from (key, rank) sequences. N)ÚdictÚKeyError)Úranks1Úranks2Úk©rú4lib/python3.7/site-packages/nltk/metrics/spearman.pyÚ _rank_distss r cCsjd}d}x*t||ƒD]\}}|||7}|d7}qWydd||||dStk rddSXdS)aUReturns the Spearman correlation coefficient for two rankings, which should be dicts or sequences of (key, rank). The coefficient ranges from -1.0 (ranks are opposite) to 1.0 (ranks are identical), and is only calculated for keys in both rankings (for meaningful results, remove keys present in only one list before ranking).réégN)r ÚZeroDivisionError)rrÚnZresrÚdrrr Úspearman_correlations  rcCsdd„t|ƒDƒS)z„Given a sequence, yields each element with an increasing rank, suitable for use as an argument to ``spearman_correlation``. css|]\}}||fVqdS)Nr)Ú.0Úirrrr ú 2sz&ranks_from_sequence..)Ú enumerate)Úseqrrr Úranks_from_sequence.srçV瞯Òs