Updated chaos machine algorithm

Author: Saba633

hashes/chaos_machine.py

@@ -1,7 +1,10 @@
-"""example of simple chaos machine
- Simple Chaos Machine refers to computational model that demonstrates chaotic behavior. 
- It takes input values, applies a chaotic transformation using control theory principles, and generates 
- unpredictable output ( meaning small changes in input lead to drastically different outputs over time),"""
+""" example of simple chaos machine
+ Simple Chaos Machine refers to computational model 
+ that demonstrates chaotic behavior. It takes input values, 
+ applies a chaotic transformation using control theory 
+ principles, and generates unpredictable output ( meaning 
+ small changes in input lead to drastically different outputs 
+ over time),"""
 
 """ Chaos Machine (K, t, m)
     K --> Initial values for the buffer space.
@@ -12,18 +15,24 @@
 t = 3
 m = 5
 
-# Buffer Space (with Parameters Space) --> Stores values undergoing chaotic transformation.
+# Buffer Space (with Parameters Space) 
+# --> Stores values undergoing chaotic transformation.
 buffer_space: list[float] = []
 
 # Stores parameters controlling the transformation.
 params_space: list[float] = []
 
-# Machine Time --> Keeps track of execution time.
+# Machine Time 
+# --> Keeps track of execution time.
 machine_time = 0
 
-"""The push() function updates the buffer_space and params_space by applying chaotic transformations
-based on control theory. It modifies all values in the buffer_space using an orbit change and trajectory change formula, 
-which ensure values to stay within controlled chaotic limits. Finally, it increments machine_time."""
+"""The push() function updates the buffer_space and 
+params_space by applying chaotic transformations
+based on control theory. It modifies all values in the 
+buffer_space using an orbit change and trajectory 
+change formula, which ensure values to stay within 
+controlled chaotic limits. Finally, it increments 
+machine_time."""
 def push(seed):
     global buffer_space, params_space, machine_time, K, m, t
 
@@ -50,9 +59,13 @@ def push(seed):
     machine_time += 1
 
 
-"""The pull() function generates a chaotic pseudo-random number using a logistic map transformation 
-and the Xorshift algorithm. It updates buffer_space and params_space over multiple iterations, ensuring chaotic evolution. 
-Finally, it selects two chaotic values, applies Xorshift, and returns a 32-bit random number."""
+"""The pull() function generates a chaotic pseudo-random 
+number using a logistic map transformation and the 
+Xorshift algorithm. It updates buffer_space and params_space 
+over multiple iterations, ensuring chaotic evolution. Finally, 
+it selects two chaotic values, applies Xorshift, and returns a 
+32-bit random number."""
+
 def pull():
     global buffer_space, params_space, machine_time, K, m, t