From 79678eea62c69f34a05231ec37b7fc8792d8be18 Mon Sep 17 00:00:00 2001
From: Kerem Kurtuldu <200315061@ogr.cbu.edu.tr>
Date: Mon, 6 Jan 2025 21:57:46 +0300
Subject: [PATCH] Create decorators_kerem_kurtuldu.py

---
 Week04/decorators_kerem_kurtuldu.py | 36 +++++++++++++++++++++++++++++
 1 file changed, 36 insertions(+)
 create mode 100644 Week04/decorators_kerem_kurtuldu.py

diff --git a/Week04/decorators_kerem_kurtuldu.py b/Week04/decorators_kerem_kurtuldu.py
new file mode 100644
index 00000000..14b9bac2
--- /dev/null
+++ b/Week04/decorators_kerem_kurtuldu.py
@@ -0,0 +1,36 @@
+import time
+import tracemalloc
+
+def measure_performance(func):
+    # Initialize performance counters
+    measure_performance.call_count = 0
+    measure_performance.total_execution_time = 0.0
+    measure_performance.total_peak_memory = 0
+
+    def wrapper(*args, **kwargs):
+        """Wrapper to measure performance of the decorated function."""
+        # Start timing and memory tracking
+        start_time = time.perf_counter()  # More precise than time.time()
+        tracemalloc.start()  # Start memory tracking
+
+        # Execute the actual function
+        result = func(*args, **kwargs)
+
+        # Measure time and memory usage
+        execution_time = time.perf_counter() - start_time
+        current_memory, peak_memory = tracemalloc.get_traced_memory()
+        tracemalloc.stop()  # Stop memory tracking
+
+        # Update cumulative stats
+        measure_performance.call_count += 1
+        measure_performance.total_execution_time += execution_time
+        measure_performance.total_peak_memory += peak_memory
+
+        # Display performance metrics
+        print(f"Call #{measure_performance.call_count}:")
+        print(f"Execution Time: {execution_time:.6f} seconds")
+        print(f"Peak Memory Usage: {peak_memory / 1024:.2f} KB\n")
+
+        return result
+
+    return wrapper