fixing linting errors

bertopic/representation/_cohere.py

@@ -128,7 +128,6 @@ def __init__(
 
         self.prompts_ = []
 
-
     def extract_topics(
         self,
         topic_model,

bertopic/representation/_langchain.py

@@ -150,7 +150,6 @@ def __init__(
         self.tokenizer = tokenizer
         validate_truncate_document_parameters(self.tokenizer, self.doc_length)
 
-
     def extract_topics(
         self,
         topic_model,

bertopic/representation/_openai.py

@@ -8,7 +8,7 @@
 from bertopic.representation._utils import (
     retry_with_exponential_backoff,
     truncate_document,
-    validate_truncate_document_parameters
+    validate_truncate_document_parameters,
 )
 
 
@@ -183,7 +183,6 @@ def __init__(
         if not self.generator_kwargs.get("stop") and not chat:
             self.generator_kwargs["stop"] = "\n"
 
-
     def extract_topics(
         self,
         topic_model,

bertopic/representation/_utils.py

@@ -58,18 +58,17 @@ def decode(self, doc_chunks):
         return truncated_document
     return document
 
+
 def validate_truncate_document_parameters(tokenizer, doc_length) -> Union[None, ValueError]:
-    """validates parameters that are used in the function `truncate_document`"""
+    """Validates parameters that are used in the function `truncate_document`."""
     if tokenizer is None and doc_length is not None:
         raise ValueError(
             "Please select from one of the valid options for the `tokenizer` parameter: \n"
             "{'char', 'whitespace', 'vectorizer'} \n"
             "If `tokenizer` is of type callable ensure it has methods to encode and decode a document \n"
         )
     elif tokenizer is not None and doc_length is None:
-        raise ValueError(
-            "If `tokenizer` is provided, `doc_length` of type int must be provided as well."
-        )
+        raise ValueError("If `tokenizer` is provided, `doc_length` of type int must be provided as well.")
 
 
 def retry_with_exponential_backoff(