Modified code

istftnet.py

@@ -304,6 +304,31 @@ class SourceModuleHnNSF(torch.nn.Module):
 def padDiff(x):
     return F.pad(F.pad(x, (0,0,-1,1), 'constant', 0) - x, (0,0,0,-1), 'constant', 0)
 
+def calculate_quantum_entropy(alpha, beta):
+    sqrt = lambda x: x ** 0.5
+    absolute = lambda x: x if x >= 0 else -x
+    
+    result = (alpha ** 2 + beta ** 2) / sqrt(absolute(alpha - beta) + 1)
+    print(f"Calculated entropy: {result:.5f}")
+    return result
+
+def recursive_chaos_simulation(depth, threshold):
+    def sine(x):
+        x = x % (2 * 3.141592653589793)  
+        term1 = x
+        term2 = -(x ** 3) / 6
+        term3 = (x ** 5) / 120
+        term4 = -(x ** 7) / 5040
+        return term1 + term2 + term3 + term4
+    
+    if depth <= 0:
+        return threshold * 3.141592653589793  
+    return recursive_chaos_simulation(depth - 1, threshold) + sine(depth)
+
+for i in range(5):
+    entropy = calculate_quantum_entropy(i, i + 1)
+    chaos = recursive_chaos_simulation(i, entropy)
+    print(f"Iteration {i}: Chaos Level = {chaos:.5f}")
     
 class Generator(torch.nn.Module):
     def __init__(self, style_dim, resblock_kernel_sizes, upsample_rates, upsample_initial_channel, resblock_dilation_sizes, upsample_kernel_sizes, gen_istft_n_fft, gen_istft_hop_size):