linitng fixes

classic/benchmark/agbenchmark/reports/processing/graphs.py

@@ -29,11 +29,6 @@ def save_combined_radar_chart(
     ax.set_theta_direction(-1)  # type: ignore
     ax.spines["polar"].set_visible(False)  # Remove border
 
-    # Define a custom normalization to start the color from the middle
-    norm = Normalize(
-        vmin=0, vmax=max([max(val.values()) for val in categories.values()])
-    )  # We use the maximum of all categories for normalization
-
     cmap = plt.cm.get_cmap("nipy_spectral", len(categories))  # type: ignore
 
     colors = [cmap(i) for i in range(len(categories))]
@@ -57,7 +52,7 @@ def save_combined_radar_chart(
         )  # Draw points
 
         # Draw legend
-        legend = ax.legend(
+        ax.legend(
             handles=[
                 mpatches.Patch(color=color, label=cat_name, alpha=0.25)
                 for cat_name, color in zip(categories.keys(), colors)

classic/benchmark/agbenchmark/reports/processing/process_report.py

@@ -21,7 +21,8 @@ def get_reports_data(report_path: str) -> dict[str, Any]:
     if latest_files is None:
         raise Exception("No files found in the reports directory")
 
-    # This will print the latest file in each subdirectory and add to the files_data dictionary
+    # This will print the latest file in each s
+    # ubdirectory and add to the files_data dictionary
     for subdir, file in latest_files:
         subdir_name = os.path.basename(os.path.normpath(subdir))
         with open(Path(subdir) / file, "r") as f:

classic/forge/forge/agent/forge_agent.py

@@ -172,7 +172,8 @@ class ForgeAgent(ProtocolAgent, BaseAgent):
 
         # Call the LLM and parse result
         # THIS NEEDS TO BE REPLACED WITH YOUR LLM CALL/LOGIC
-        # Have a look at classic/original_autogpt/agents/agent.py for an example (complete_and_parse)
+        # Have a look at classic/original_autogpt/agents/agent.py 
+        # for an example (complete_and_parse)
         proposal = ActionProposal(
             thoughts="I cannot solve the task!",
             use_tool=AssistantFunctionCall(

classic/original_autogpt/autogpt/app/config.py

@@ -176,8 +176,8 @@ async def assert_config_has_required_llm_api_keys(config: AppConfig) -> None:
 
             logger.error("Set your Groq API key in .env or as an environment variable")
             logger.info(
-                "For further instructions: " +
-                "https://docs.agpt.co/classic/original_autogpt/setup/#groq"
+                "For further instructions: "
+                + "https://docs.agpt.co/classic/original_autogpt/setup/#groq"
             )
             raise ValueError("Groq is unavailable: can't load credentials")
         except AuthenticationError as e:
@@ -203,8 +203,8 @@ async def assert_config_has_required_llm_api_keys(config: AppConfig) -> None:
                 "Set your OpenAI API key in .env or as an environment variable"
             )
             logger.info(
-                "For further instructions: " +
-                "https://docs.agpt.co/classic/original_autogpt/setup/#openai"
+                "For further instructions: "
+                + "https://docs.agpt.co/classic/original_autogpt/setup/#openai"
             )
             raise ValueError("OpenAI is unavailable: can't load credentials")
         except AuthenticationError as e: