[PACKAGES CLEANUP]

docs/swarms/install/workspace_manager.md

@@ -14,10 +14,7 @@ Create a `.env` file in your project's root directory to configure the Swarms fr
 - **Purpose**: Defines the directory where all agent states and execution logs are stored
 - **Type**: String (path)
 - **Default**: `./workspace`
-- **Example**: 
-```bash
-WORKSPACE_DIR=/path/to/your/workspace
-```
+- **Example**: ```bashWORKSPACE_DIR=/path/to/your/workspace```
 - **Usage**:
   - Stores JSON files containing agent states
   - Maintains execution history
@@ -183,4 +180,4 @@ Common issues and solutions:
 
 - [Swarms Framework Documentation](https://github.com/kyegomez/swarms)
 - [Swarms Analytics Dashboard](https://swarms.ai)
-- [API Reference](https://swarms.ai/docs/api)
+- [API Reference](https://swarms.ai/docs/api)

example_async_vs_multithread.py

@@ -1,6 +1,5 @@
 import os
 import asyncio
-import threading
 from swarms import Agent
 from swarm_models import OpenAIChat
 import time
@@ -40,18 +39,21 @@
     streaming_on=False,
 )
 
+
 # Function to measure time and memory usage
 def measure_time_and_memory(func):
     def wrapper(*args, **kwargs):
         start_time = time.time()
         result = func(*args, **kwargs)
         end_time = time.time()
-        memory_usage = psutil.Process().memory_info().rss / 1024 ** 2
+        memory_usage = psutil.Process().memory_info().rss / 1024**2
         print(f"Time taken: {end_time - start_time} seconds")
         print(f"Memory used: {memory_usage} MB")
         return result
+
     return wrapper
 
+
 # Function to run the agent asynchronously
 @measure_time_and_memory
 async def run_agent_async():
@@ -61,11 +63,13 @@ async def run_agent_async():
         )
     )
 
+
 # Function to run the agent on another thread
 @measure_time_and_memory
 def run_agent_thread():
     asyncio.run(run_agent_async())
 
+
 # Run the agent asynchronously and on another thread to test the speed
 asyncio.run(run_agent_async())
 run_agent_thread()