chore: fix ruff findings

Author: afuetterer

bertopic/plotting/_approximate_distribution.py

@@ -75,7 +75,7 @@ def visualize_approximate_distribution(
         df = pd.DataFrame(topic_token_distribution).T
 
     df.columns = [f"{token}_{i}" for i, token in enumerate(tokens)]
-    df.columns = [f"{token}{' '*i}" for i, token in enumerate(tokens)]
+    df.columns = [f"{token}{' ' * i}" for i, token in enumerate(tokens)]
     df.index = list(topic_model.topic_labels_.values())[topic_model._outliers :]
     df = df.loc[(df.sum(axis=1) != 0), :]
 

tests/test_other.py

@@ -5,7 +5,7 @@ def test_load_save_model():
     model = BERTopic(language="Dutch", embedding_model=None)
     model.save("test", serialization="pickle")
     loaded_model = BERTopic.load("test")
-    assert type(model) == type(loaded_model)
+    assert type(model) is type(loaded_model)
     assert model.language == loaded_model.language
     assert model.embedding_model == loaded_model.embedding_model
     assert model.top_n_words == loaded_model.top_n_words