[pre-commit.ci] auto fixes from pre-commit.com hooks

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Author: pre-commit-ci[bot]

Diff for: hashes/chaos_machine.py

@@ -1,10 +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.
@@ -15,24 +15,26 @@
 t = 3
 m = 5
 
-# Buffer Space (with Parameters Space) 
+# 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 
+# Machine Time
 # --> Keeps track of execution time.
 machine_time = 0
 
-"""The push() function updates the buffer_space and 
+"""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 
+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
 
@@ -59,13 +61,14 @@ 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 
+"""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
 
@@ -126,4 +129,4 @@ def reset():
         print(f"{format(pull(), '#04x')}")
         print(buffer_space)
         print(params_space)
-        inp = input("(e)exit? ").strip()
+        inp = input("(e)exit? ").strip()