Apply isort and black reformatting

Signed-off-by: jasro23 <jasro23@users.noreply.github.com>

Author: jasro23

nemo/collections/tts/g2p/models/kn_in_ipa.py

@@ -44,7 +44,6 @@ class KannadaG2p(BaseG2p):
         ['k', 'a', 'n', 'n', 'a', 'ɖ', 'a']
     """
 
-
     def __init__(
         self,
         phoneme_dict: Optional[Union[str, pathlib.Path, Dict[str, List[str]]]] = None,
@@ -93,8 +92,7 @@ def __init__(
 
         # ASCII letter handling for code-mixed text (Kannada + English)
         self.ascii_letter_dict = {
-            x: ascii_letter_prefix + x
-            for x in get_grapheme_character_set(locale="en-US", case=ascii_letter_case)
+            x: ascii_letter_prefix + x for x in get_grapheme_character_set(locale="en-US", case=ascii_letter_case)
         }
         self.ascii_letter_list = sorted(self.ascii_letter_dict)
         self.ascii_letter_case = ascii_letter_case
@@ -109,9 +107,7 @@ def __init__(
         self._init_kannada_rules()
 
         if apply_to_oov_word is None:
-            logging.info(
-                "apply_to_oov_word=None. Using rule-based G2P for out-of-vocabulary words."
-            )
+            logging.info("apply_to_oov_word=None. Using rule-based G2P for out-of-vocabulary words.")
 
         super().__init__(
             phoneme_dict=phoneme_dict,
@@ -224,24 +220,21 @@ def _init_kannada_rules(self):
 
     def _split_phoneme(self, phoneme: str, prefix: str) -> List[str]:
         """Split multi-character phonemes into separate tokens for consistency.
-        
+
         Splits multi-character phonemes into individual characters for consistent tokenization.
-        
+
         Args:
             phoneme: The phoneme string to potentially split.
             prefix: Prefix to add to each token.
-            
+
         Returns:
             List of prefixed phoneme tokens.
         """
         # Split phonemes character-by-character
         return [prefix + char for char in phoneme]
 
     @staticmethod
-    def _parse_phoneme_dict(
-        phoneme_dict_path: Union[str, pathlib.Path],
-        phoneme_prefix: str
-    ) -> Dict[str, List[str]]:
+    def _parse_phoneme_dict(phoneme_dict_path: Union[str, pathlib.Path], phoneme_prefix: str) -> Dict[str, List[str]]:
         """Load pronunciation dictionary file.
 
         Args: