Tidy up code

mc4-sampling.py

@@ -340,9 +340,9 @@ class Mc4Sampling(datasets.GeneratorBasedBuilder):
         probability = factor / quartile_range
         return self.rng.uniform() < probability
 
-    def _should_keep_doc_gaussian(self, doc, factor=None, boundaries=None, **kwargs):
-        width = kwargs.get("width", 9 / 2)  # width (spread) of the exponential curve
+    def _should_keep_doc_gaussian(self, doc, factor=None, width=None, **kwargs):
         perplexity = self.get_perplexity(doc)
+        width = (9 / 2) if width is None else width  # width (spread) of the exponential curve
         factor = 0.78 if factor is None else factor
         if boundaries is not None:
             m = boundaries[1]
@@ -352,9 +352,8 @@ class Mc4Sampling(datasets.GeneratorBasedBuilder):
         weighted_perplexity = factor * exponential
         return self.rng.uniform() < weighted_perplexity
 
-    def _should_keep_doc_random(self, doc, factor=None, boundaries=None, **kwargs):
-        if factor is None:
-            factor = 0.5
+    def _should_keep_doc_random(self, doc, factor=None, **kwargs):
+        factor = 0.5 if factor is None else factor
         return self.rng.uniform() <= factor
 
     def _info(self):