Primi fix

metrica_tesi.py

@@ -95,7 +95,7 @@ class MetricaTesi(evaluate.Metric):
         # TODO: Download external resources if needed
         pass
 
-    def _compute(self, predictions, references, n):
+    def _compute(self, predictions, references, n=2):
         """Returns the scores"""
         # TODO: Compute the different scores of the module
         score = 0

tests.py

@@ -2,16 +2,19 @@ test_cases = [
     {
         "predictions": ["blu red yellow", "green orange violet"],
         "references": ["pizza spaghetti mandolino", "piplup prinplup empoleon"],
+        "n": 2,
         "result": {"metric_score": 0}
     },
     {
         "predictions": ["a random string", "another string maybe"],
         "references": ["random random string", "string string maybe"],
+        "n": 2,
         "result": {"metric_score": 1}
     },
     {
         "predictions": ["conda search evaluate", "conda search transformers"],
         "references": ["conda search evaluate", "conda install pytorch"],
+        "n": 2,
         "result": {"metric_score": 0.5}
     }
 ]