Add performance decorator to track function metrics

This decorator tracks the performance of functions by measuring execution time and memory usage.

Author: ayseearslan09-byte

Week04/decorators_ayse_arslan.py

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+import time
+import tracemalloc
+from functools import wraps
+
+
+def performance(func):
+    @wraps(func)
+    def wrapper(*args, **kwargs):
+
+        if not tracemalloc.is_tracing():
+            tracemalloc.start()
+
+        tracemalloc.reset_peak()
+        before = tracemalloc.get_traced_memory()[0]
+
+        start_time = time.perf_counter()
+
+        result = func(*args, **kwargs)
+
+        end_time = time.perf_counter()
+
+        current, peak = tracemalloc.get_traced_memory()
+
+        wrapper.counter += 1
+        wrapper.total_time += end_time - start_time
+        wrapper.total_mem += max(0, peak - before)
+
+        return result
+
+    wrapper.counter = 0
+    wrapper.total_time = 0.0
+    wrapper.total_mem = 0
+
+    return wrapper
+
+
+# Example function
+@performance
+def calculate():
+    numbers = [i for i in range(1000)]
+    return sum(numbers)
+
+
+print(calculate())
+print("Counter:", calculate.counter)
+print("Total time:", calculate.total_time)
+print("Total memory:", calculate.total_mem)