Add my new, shiny module.

README.md

@@ -104,7 +104,8 @@ predictions=["About 95 species are currently accepted ."]
 references=[["About 95 species are currently accepted ."]]
 results = sari.compute(sources=sources, predictions=predictions, references=references)
 print(results)
-{'sari': 100.0, 'keep': 1.0, 'del': 1.0, 'add': 1.0}
+{'sari': 100.0, 'keep': 100.0, 'del': 100.0, 'add': 100.0}
+
 ```
 
 Partial match between prediction and reference:
@@ -117,7 +118,8 @@ predictions=["About 95 you now get in ."]
 references=[["About 95 species are currently known .","About 95 species are now accepted .","95 species are now accepted ."]]
 results = sari.compute(sources=sources, predictions=predictions, references=references)
 print(results)
-{'sari': 26.953601953601954, 'keep': 0.22527472527472525, 'del': 0.5, 'add': 0.08333333333333333}
+{'sari': 26.953601953601954, 'keep': 22.527472527472526, 'del': 50.0, 'add': 8.333333333333332}
+
 ```
 
 ## Limitations and bias

sari_metric.py

@@ -78,7 +78,8 @@ Examples:
     >>> sari = evaluate.load("sari")
     >>> results = sari.compute(sources=sources, predictions=predictions, references=references)
     >>> print(results)
-    {'sari': 26.953601953601954, 'keep': 22.527472527472525, 'del': 50, 'add': 8.333333333333333}
+    {'sari': 26.953601953601954, 'keep': 22.527472527472526, 'del': 50.0, 'add': 8.333333333333332}
+
 """