perf: detect memory leak

bindings/python/test/memory_leak_tracker.py

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+# Copyright © Loft Orbital Solutions Inc.
+
+import psutil
+import os
+import time
+import gc
+
+
+# Function to monitor memory usage
+def monitor_memory_usage():
+    process = psutil.Process(os.getpid())
+    mem_info = process.memory_info()
+    return mem_info.rss / (1024 * 1024)  # Return memory usage in MB
+
+
+# Decorator to track memory usage
+def track_memory_usage(func):
+    def wrapper(*args, **kwargs):
+        # Memory usage before function execution
+        mem_before = monitor_memory_usage()
+        print(f"Memory usage before {func.__name__}: {mem_before:.2f} MB")
+
+        # Execute the function
+        result = func(*args, **kwargs)
+
+        # Trigger garbage collection
+        # gc.collect()
+
+        # Memory usage after function execution
+        mem_after = monitor_memory_usage()
+        print(f"Memory usage after {func.__name__}: {mem_after:.2f} MB")
+
+        # Memory leak
+        mem_diff = mem_after - mem_before
+        print(f"Memory change in {func.__name__}: {mem_diff:.2f} MB")
+
+        return result
+
+    return wrapper
+
+
+# Example function to test memory usage
+@track_memory_usage
+def example_function():
+    # Simulate some memory usage
+    data = [x**2 for x in range(1000000)]
+
+    # Clear the data to release memory
+    # del data
+
+
+if __name__ == "__main__":
+    result = example_function()