cleanup

tests/structs/test_agent_router.py

@@ -1,4 +1,3 @@
-
 # from unittest.mock import Mock, patch
 
 from swarms.structs.agent_router import AgentRouter

tests/structs/test_concurrent_workflow.py

@@ -159,7 +159,7 @@ def test_concurrent_workflow_error_handling():
     """Test ConcurrentWorkflow error handling and validation"""
     # Test with empty agents list
     try:
-        workflow = ConcurrentWorkflow(agents=[])
+        ConcurrentWorkflow(agents=[])
         assert (
             False
         ), "Should have raised ValueError for empty agents list"
@@ -168,7 +168,7 @@ def test_concurrent_workflow_error_handling():
 
     # Test with None agents
     try:
-        workflow = ConcurrentWorkflow(agents=None)
+        ConcurrentWorkflow(agents=None)
         assert False, "Should have raised ValueError for None agents"
     except ValueError as e:
         assert "No agents provided" in str(e)

tests/structs/test_hierarchical_swarm.py

@@ -210,7 +210,7 @@ def test_hierarchical_swarm_error_handling():
     """Test HierarchicalSwarm error handling"""
     # Test with empty agents list
     try:
-        swarm = HierarchicalSwarm(agents=[])
+        HierarchicalSwarm(agents=[])
         assert (
             False
         ), "Should have raised ValueError for empty agents list"
@@ -228,7 +228,7 @@ def test_hierarchical_swarm_error_handling():
     )
 
     try:
-        swarm = HierarchicalSwarm(agents=[researcher], max_loops=0)
+        HierarchicalSwarm(agents=[researcher], max_loops=0)
         assert (
             False
         ), "Should have raised ValueError for invalid max_loops"

tests/structs/test_majority_voting.py

@@ -178,21 +178,21 @@ def test_majority_voting_error_handling():
 def test_majority_voting_different_output_types():
     """Test MajorityVoting with different output types"""
     # Create agents for technical analysis
-    security_expert = Agent(
+    Agent(
         agent_name="Security-Expert",
         agent_description="Cybersecurity and data protection specialist",
         model_name="gpt-4o",
         max_loops=1,
     )
 
-    compliance_officer = Agent(
+    Agent(
         agent_name="Compliance-Officer",
         agent_description="Regulatory compliance and legal specialist",
         model_name="gpt-4o",
         max_loops=1,
     )
 
-    privacy_advocate = Agent(
+    Agent(
         agent_name="Privacy-Advocate",
         agent_description="Privacy protection and data rights specialist",
         model_name="gpt-4o",