fix: Fixed erros in test due by forcing the extension to be set.

textdescriptives/components/quality.py

@@ -320,7 +320,7 @@ def top_ngram_chr_fraction(
         count = count_span["count"]
         if count >= min_count:
             # calculate the fraction of the top n-gram
-            top_ngram_chr_frac[n] = len(ngram) / chr_len
+            top_ngram_chr_frac[n] = (len(ngram) * count) / chr_len
         else:
             top_ngram_chr_frac[n] = 0.0
 
@@ -465,9 +465,9 @@ def set_extensions(self):
             doc_getter = span_getter_to_doc_getter(span_getter)
 
             if not Span.has_extension(ext_name) or self.force is True:
-                Span.set_extension(ext_name, getter=span_getter)
+                Span.set_extension(ext_name, getter=span_getter, force=True)
             if not Doc.has_extension(ext_name) or self.force is True:
-                Doc.set_extension(ext_name, getter=doc_getter)
+                Doc.set_extension(ext_name, getter=doc_getter, force=True)
 
 
 @Language.factory(

textdescriptives/tests/test_quality.py

@@ -180,7 +180,7 @@ def test_top_ngram_chr_fraction(
 
 def test_quality_component(nlp: spacy.Language):
     """Test the quality component."""
-    nlp.add_pipe("quality")
+    nlp.add_pipe("quality", config={"force": True})
     doc = nlp("This is a test. This is a test. This is a test.")
     assert doc._.quality["n_stop_words"] == 9
     assert doc._.quality["mean_word_length"] == 2.4
@@ -211,7 +211,12 @@ def test_quality_component_with_config(nlp: spacy.Language):
         "contains_lorem ipsum": False,
     }
     d = nlp.add_pipe(
-        "quality", config={"symbols": ["."], "quality_thresholds": quality_thresholds}
+        "quality",
+        config={
+            "symbols": ["."],
+            "quality_thresholds": quality_thresholds,
+            "force": True,
+        },
     )
 
     doc = nlp("This is a test. This is a test. This is a test.")
@@ -246,6 +251,6 @@ def test_quality_component_with_config(nlp: spacy.Language):
 )
 def test_passed_quality_check(text: str, passed: bool, nlp: spacy.Language):
     """Test the passed_quality_check attribute."""
-    nlp.add_pipe("quality")
+    nlp.add_pipe("quality", config={"force": True})
     doc = nlp(text)
     assert doc._.passed_quality_check == passed