Create decorators_aysegul_ezber.py

Week04/decorators_aysegul_ezber.py

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+import time
+import tracemalloc
+
+def performance_decorator(func):
+    """
+    A decorator to measure the performance of the decorated function.
+    It tracks the execution time and memory usage and stores statistics.
+    """
+    # Initialize performance attributes for the decorator
+    def init_performance_attrs():
+        setattr(func, 'counter', 0)          # Count the number of times the function is called
+        setattr(func, 'total_time', 0.0)      # Total execution time
+        setattr(func, 'total_mem', 0.0)       # Total memory used
+
+    # Initialize performance tracking for the first time
+    if not hasattr(func, 'counter'):
+        init_performance_attrs()
+
+    def wrapper(*args, **kwargs):
+        # Access the current performance attributes
+        counter = getattr(func, 'counter')
+        total_time = getattr(func, 'total_time')
+        total_mem = getattr(func, 'total_mem')
+
+        # Start memory tracking
+        tracemalloc.start()
+
+        # Start the timer to measure execution time
+        start_time = time.time()
+
+        try:
+            # Execute the original function
+            result = func(*args, **kwargs)
+        except Exception as e:
+            # Handle any exceptions raised during function execution
+            print(f"Error occurred while executing {func.__name__}: {e}")
+            result = None
+        finally:
+            # End the timer and stop memory tracking
+            end_time = time.time()
+            current, peak = tracemalloc.get_traced_memory()
+            tracemalloc.stop()
+
+            # Calculate time taken and memory used
+            elapsed_time = end_time - start_time
+            memory_usage = peak
+
+            # Update performance statistics
+            counter += 1
+            total_time += elapsed_time
+            total_mem += memory_usage
+
+            # Save updated statistics back to the function attributes
+            setattr(func, 'counter', counter)
+            setattr(func, 'total_time', total_time)
+            setattr(func, 'total_mem', total_mem)
+
+            # Print performance results
+            print(f"Function '{func.__name__}' executed.")
+            print(f"Execution time: {elapsed_time:.6f} seconds")
+            print(f"Memory usage: {memory_usage / 1024:.2f} KB")
+            print(f"Total calls: {counter}")
+            print(f"Total time: {total_time:.6f} seconds")
+            print(f"Total memory used: {total_mem / 1024:.2f} KB")
+
+        return result
+
+    return wrapper
+
+# Example usage of the decorator
+
+@performance_decorator
+def example_function(n):
+    """
+    A simple function that simulates some work by sleeping.
+    The function calculates the sum of numbers up to n and returns it.
+    """
+    total = sum(range(n))
+    time.sleep(0.5)  # Simulate some work
+    return total
+
+# Calling the decorated function
+example_function(1000)
+example_function(5000)
+example_function(10000)