Harrison/fix lint (#138)

langchain/chains/mapreduce.py

@@ -59,7 +59,7 @@ class MapReduceChain(Chain, BaseModel):
 
     def _call(self, inputs: Dict[str, str]) -> Dict[str, str]:
         # Split the larger text into smaller chunks.
-        docs = self.text_splitter.split_text(inputs[self.input_key],)
+        docs = self.text_splitter.split_text(inputs[self.input_key])
         # Now that we have the chunks, we send them to the LLM and track results.
         #  This is the "map" part.
         summaries = []

langchain/chains/natbot/crawler.py

@@ -28,8 +28,7 @@ class Crawler:
                 "Could not import playwright python package. "
                 "Please it install it with `pip install playwright`."
             )
-        self.browser = sync_playwright().start().chromium.launch(headless=False,)
+        self.browser = sync_playwright().start().chromium.launch(headless=False)
-
         self.page = self.browser.new_page()
         self.page.set_viewport_size({"width": 1280, "height": 1080})
 

langchain/chains/react/prompt.py

@@ -109,4 +109,4 @@ Action 3: Finish[yes]""",
 ]
 SUFFIX = """\n\nQuestion: {input}"""
 
-PROMPT = Prompt.from_examples(EXAMPLES, SUFFIX, ["input"],)
+PROMPT = Prompt.from_examples(EXAMPLES, SUFFIX, ["input"])

langchain/chains/self_ask_with_search/prompt.py

@@ -38,4 +38,4 @@ Intermediate Answer: New Zealand.
 So the final answer is: No
 
 Question: {input}"""
-PROMPT = Prompt(input_variables=["input"], template=_DEFAULT_TEMPLATE,)
+PROMPT = Prompt(input_variables=["input"], template=_DEFAULT_TEMPLATE)

langchain/chains/sql_database/prompt.py

@@ -15,5 +15,5 @@ Only use the following tables:
 
 Question: {input}"""
 PROMPT = Prompt(
-    input_variables=["input", "table_info", "dialect"], template=_DEFAULT_TEMPLATE,
+    input_variables=["input", "table_info", "dialect"], template=_DEFAULT_TEMPLATE
 )

langchain/llms/ai21.py

@@ -121,7 +121,7 @@ class AI21(BaseModel, LLM):
         response = requests.post(
             url=f"https://api.ai21.com/studio/v1/{self.model}/complete",
             headers={"Authorization": f"Bearer {self.ai21_api_key}"},
-            json={"prompt": prompt, "stopSequences": stop, **self._default_params,},
+            json={"prompt": prompt, "stopSequences": stop, **self._default_params},
         )
         if response.status_code != 200:
             optional_detail = response.json().get("error")

langchain/vectorstores/elastic_vector_search.py

@@ -45,7 +45,7 @@ class ElasticVectorSearch(VectorStore):
     """
 
     def __init__(
-        self, elasticsearch_url: str, index_name: str, embedding_function: Callable,
+        self, elasticsearch_url: str, index_name: str, embedding_function: Callable
     ):
         """Initialize with necessary components."""
         try:

tests/integration_tests/llms/test_manifest.py

@@ -6,7 +6,7 @@ def test_manifest_wrapper() -> None:
     """Test manifest wrapper."""
     from manifest import Manifest
 
-    manifest = Manifest(client_name="openai",)
+    manifest = Manifest(client_name="openai")
     llm = ManifestWrapper(client=manifest, llm_kwargs={"temperature": 0})
     output = llm("The capital of New York is:")
     assert output == "Albany"