Linting fixes

Author: smitlg

keras_cv/models/feature_extractor/clip/clip_tokenizer.py

@@ -149,8 +149,9 @@ def process_unseen_tokens():
                 self._bpe_merge_and_update_cache(unseen_tokens)
                 return self.cache.lookup(flat_tokens)
 
-            # If `has_unseen_words == True`, it means not all tokens are in cache,
-            # we will process the unseen tokens. Otherwise return the cache lookup.
+            # If `has_unseen_words == True`, it means not all tokens are,
+            # in cache we will process the unseen tokens. Otherwise
+            # return the cache lookup.
             tokenized_words = tf.cond(
                 has_unseen_words,
                 process_unseen_tokens,

keras_cv/utils/conditional_imports.py

@@ -83,4 +83,4 @@ def assert_keras_nlp_installed(symbol_name):
             f"{symbol_name} requires the `keras_nlp` package. "
             "Please install the package using "
             "`pip install keras_nlp`."
-        )
+        )