From cc761e5e7398be2df9ece5191088a4bc17795972 Mon Sep 17 00:00:00 2001
From: gorendes <123700346+gorendes@users.noreply.github.com>
Date: Sun, 20 Oct 2024 17:21:13 +0300
Subject: [PATCH] Create decorators_niyazi_cetinkaya.py

---
 Week04/decorators_niyazi_cetinkaya.py | 49 +++++++++++++++++++++++++++
 1 file changed, 49 insertions(+)
 create mode 100644 Week04/decorators_niyazi_cetinkaya.py

diff --git a/Week04/decorators_niyazi_cetinkaya.py b/Week04/decorators_niyazi_cetinkaya.py
new file mode 100644
index 00000000..e16e3775
--- /dev/null
+++ b/Week04/decorators_niyazi_cetinkaya.py
@@ -0,0 +1,49 @@
+import time
+import tracemalloc
+
+def performance(func):
+    """
+    A decorator to keep track of how often a function is called,
+    how long it takes to run, and how much memory it uses.
+    
+    Attributes:
+        counter: How many times the function has been called.
+        total_time: The total time the function has taken to run.
+        total_mem: The total memory used by the function.
+    """
+    
+    # Initialize the counters
+    performance.counter = 0
+    performance.total_time = 0
+    performance.total_mem = 0
+    
+    def wrapper(*args, **kwargs):
+        # Start tracking memory
+        tracemalloc.start()
+        
+        # Record the start time
+        start_time = time.time()
+        
+        # Call the actual function
+        result = func(*args, **kwargs)
+        
+        # Calculate how long it took
+        time_taken = time.time() - start_time
+        
+        # Capture the peak memory usage
+        current_mem, peak_mem = tracemalloc.get_traced_memory()
+        tracemalloc.stop()
+        
+        # Update the stats
+        performance.counter += 1
+        performance.total_time += time_taken
+        performance.total_mem += peak_mem  # Peak memory during execution
+        
+        # Friendly output
+        print(f"'{func.__name__}' was called {performance.counter} times.")
+        print(f"Total time so far: {performance.total_time:.4f} seconds.")
+        print(f"Total memory used: {performance.total_mem / 1024:.2f} KB.\n")
+        
+        return result
+    
+    return wrapper