Update app.py

app.py

@@ -104,6 +104,52 @@ def execute_python(code):
         sys.stdout = sys.__stdout__
     return output.getvalue()
 
+#example python code
+python_hard = """# Be careful to support large number sizes
+
+def lcg(seed, a=1664525, c=1013904223, m=2**32):
+    value = seed
+    while True:
+        value = (a * value + c) % m
+        yield value
+        
+def max_subarray_sum(n, seed, min_val, max_val):
+    lcg_gen = lcg(seed)
+    random_numbers = [next(lcg_gen) % (max_val - min_val + 1) + min_val for _ in range(n)]
+    max_sum = float('-inf')
+    for i in range(n):
+        current_sum = 0
+        for j in range(i, n):
+            current_sum += random_numbers[j]
+            if current_sum > max_sum:
+                max_sum = current_sum
+    return max_sum
+
+def total_max_subarray_sum(n, initial_seed, min_val, max_val):
+    total_sum = 0
+    lcg_gen = lcg(initial_seed)
+    for _ in range(20):
+        seed = next(lcg_gen)
+        total_sum += max_subarray_sum(n, seed, min_val, max_val)
+    return total_sum
+
+# Parameters
+n = 10000         # Number of random numbers
+initial_seed = 42 # Initial seed for the LCG
+min_val = -10     # Minimum value of random numbers
+max_val = 10      # Maximum value of random numbers
+
+# Timing the function
+import time
+start_time = time.time()
+result = total_max_subarray_sum(n, initial_seed, min_val, max_val)
+end_time = time.time()
+
+print("Total Maximum Subarray Sum (20 runs):", result)
+print("Execution Time: {:.6f} seconds".format(end_time - start_time))
+"""
+
+
 def execute_cpp(code):
     write_output(code)
     try: